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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.

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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Evaluation and Performance Assessment
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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
Evidence
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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 43 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.

venueno affgpt · no categorygrok · no categoryopus · no categorymodels agree
Editor’s Remarks
Jill Anne Chouinard
2023· article· en· Canadian Journal of Program Evaluation· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Editor’s Remarks
Isabelle Bourgeois
2021· article· en· Canadian Journal of Program Evaluation· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Addendum
2023· article· en· Canadian Journal of Program Evaluation· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Editor’s Remarks
Isabelle Bourgeois
2020· article· en· Canadian Journal of Program Evaluation· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affgpt · no categorygrok · no categoryopus · no categorymodels agree
Editor’s Remarks
Robert Schwartz
2016· article· en· Canadian Journal of Program Evaluation· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Addendum
2023· article· en· Canadian Journal of Program Evaluation· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affgemma · no categorygpt · no categorymodels agree
Towards an Inclusive Approach to Evaluation of Teaching
Valentine Olusegun Matthews
2025· article· en· International Journal of Higher Education· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
Call for papers: Leading projects through time
Dicle Kortantamer, Julie Delisle, Johan Alvehus
2025· article· en· Project Leadership and Society· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundvenueaboutno affunlabeled
From the Editor
Virginia Caputo
2023· article· en· Canadian Journal of Children s Rights / Revue canadienne des droits des enfants· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
From the Editor
Virginia Caputo
2022· article· en· Canadian Journal of Children s Rights / Revue canadienne des droits des enfants· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About