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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.

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.

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 8 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueaboutno affunlabeled
Evaluator Competencies: The Canadian Experience
Heather Buchanan, Keiko Kuji‐Shikatani
2014· article· en· Canadian Journal of Program Evaluation· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · metaresearch
16
citations
affno abstractunlabeled
The Tools of the Qualitative Research Trade
Elise Paradis
2016· article· en· Academic Medicine· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · metaresearch
16
citations
venueno affunlabeled
Evaluator Competencies: The Aotearoa New Zealand Experience
Nan Wehipeihana, Robyn L. Bailey, E. Jane Davidson, Kate McKegg
2014· article· en· Canadian Journal of Program Evaluation· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
15
citations
afffundunlabeled
What Counts is not Falling... but Landing
Astrid Brousselle
2004· article· en· Evaluation· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
15
citations
affvenueaboutgpt · no categorygrok · no categoryopus · no categorymodels agree
How Do You Evaluate a Network? A Canadian Child and Youth Health Network Experience
Janice Popp, Laura N. L’Heureux, Carly M. Dolinski, Carol E. Adair, Suzanne Tough, Ann Casebeer +2 more
2006· article· en· Canadian Journal of Program Evaluation· Decision Sciences
distilled prediction:candidate · scholarly_communicationconsensus · none
15
citations
affvenueunlabeled
Participatory Needs Assessment
John A. Ross, Sonia Ben Jaafar
2006· article· en· Canadian Journal of Program Evaluation· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
14
citations
affgemma · no categorygpt · metaresearchmodels split
Using Data From Program Evaluations for Qualitative Research
Dorene F. Balmer, Jennifer A. Rama, Maria Athina Martimianakis, Terese Stenfors
2016· article· en· Journal of Graduate Medical Education· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · metaresearch
14
citations
affunlabeled
Seeing Through the Logical Framework
Daniel E. Martínez, D. James Cooper
2020· article· en· VOLUNTAS International Journal of Voluntary and Nonprofit Organizations· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
14
citations

How this was built: Screen · Findings · About