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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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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.

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

2,407 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,407 works in the cohort · of 4,299,418page 3 of 49

Labels cover 84 of 2,407 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 2,407 of 2,407 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Social Epistemology
Nora Jacobson
2007· article· en· Science Communication· Decision Sciences
machine prediction:candidate · stsconsensus · none
51
citations
venueno affunlabeled
Revisiting Contribution Analysis
John Mayne
2019· article· en· Canadian Journal of Program Evaluation· Decision Sciences
machine prediction:candidate · noneconsensus · none
48
citations
affunlabeled
Managing Tensions Between Evaluation and Research
Lynda Rey, Marie‐Claude Tremblay, Astrid Brousselle
2013· article· en· American Journal of Evaluation· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
44
citations
affunlabeled
Unexpected but Most Welcome
Pierre‐Marc Daigneault, Steve Jacob
2013· article· en· Journal of Mixed Methods Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affno abstractunlabeled
Practising Critical Reflection
Jan Fook, Fiona Gardner
2007· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Content Analysis
Lindsay Prior
2020· book-chapter· en· Oxford University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Evaluability Assessment
Wilfreda E. Thurston, J. R. Graham, Jennifer Hatfield
2003· article· en· Evaluation & the Health Professions· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
40
citations
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