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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
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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 41 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.

aboutno affunlabeled
Academics and public policy
Daniel Cohn
2018· book-chapter· en· Policy Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
9781000862577.pdf
2023· other· en· OAPEN (The OAPEN Foundation)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Guest Editors’ notes
John M. LaVelle, Leah C. Neubauer, Ayesha S. Boyce, Thomas Archibald
2023· article· en· New Directions for Evaluation· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Rendons l’évaluation plus inclusive
Nicole Monney, Thomas Rajotte
2024· article· fr· Apprendre et enseigner aujourd’hui Revue du Conseil pédagogique interdisciplinaire du Québec· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
LESSONS LEARNED AS A NEW POLICE FORCE
Jennifer Hyland
2023· article· en· The Journal of Intelligence Conflict and Warfare· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Aligning Assessments as a Process in Program Evaluation
John Dawson, Paisley Worthington, Nicole LaRush, Alison Dewancker, Dale Lackeyram
2015· article· en· Scholarship@Western (Western University)· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affno abstractunlabeled
Using evidence in Canada
Bev Holmes, Sharon E. Straus
2019· book-chapter· en· Policy Press eBooks· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affvenueunlabeled
SEEING THE CHILDREN FOR THE TREES
Kurt W. Clausen
2015· article· en· The Canadian Journal of Action Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Commissions of inquiry and policy analysis
Carolyn Johns, Gregory J. Inwood
2018· book-chapter· en· Policy Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Embracing Our Future: A Revised Name for CSHP
Jody Ciufo, Katie Hollis, Megan Riordon, Sean P. Spina, Ashley Walus
2024· article· en· The Canadian Journal of Hospital Pharmacy· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
The policy analysis profession in Canada
Stephen J. Brooks
2018· book-chapter· en· Policy Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The policy analysis profession in Canada
Stephen J. Brooks
2018· book-chapter· en· Policy Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Aiming to bridge the CUA diversity gap
Michael S. Leonard
2023· article· en· Canadian Urological Association Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Instruments of Professional Independence
Jean‐Guy Prévost
2023· book-chapter· en· Society, environment and statistics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Defining “practice”
Rosemary Killeen
2008· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About