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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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The Journal of Community Informatics
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Retraction
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

519 results · 1 filter active ·
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20042025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
519 works in the cohort · of 4,299,418page 2 of 11

Labels cover 2 of 519 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 519 of 519 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Community Informatics and Systems Design
2007· article· en· The Journal of Community Informatics· Computer Science
distilled prediction:candidate · sts+research_integrityconsensus · none
26
citations
venueno affunlabeled
The K-Net Story: Community ICT Development Work
2004· article· en· The Journal of Community Informatics· Computer Science
distilled prediction:candidate · sts+open_science+research_integrityconsensus · none
24
citations
fundvenueno affgemma · open_sciencegpt · open_sciencemodels split
User Centred Methods for Measuring the Value of Open Data
2016· article· en· The Journal of Community Informatics· Decision Sciences
distilled prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
17
citations
affvenueunlabeled
Community Networking and Public Benefits
2005· article· en· The Journal of Community Informatics· Business, Management and Accounting
distilled prediction:candidate · stsconsensus · none
15
citations
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