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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.

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
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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 44 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 affunlabeled
Editorial: Putting Our Work in Context
Michael Gurstein
2005· editorial· en· The Journal of Community Informatics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Devolution and Control in Alberta
Alison Taylor
2008· article· en· Encounters in Theory and History of Education· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Putting the Meaning Into Meaningful Change Research
Jessica Braid, Susanne Clinch, Hannah M Staunton, Patricia K. Corey‐Lisle, Bruno Kovic, Siobhan Connor +2 more
2021· preprint· en· Research Square· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affvenueunlabeled
How to Achieve Meaningful Change
Gregory P. Marchildon
2025· article· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Solution-Based Approach to Civil Discourse
Elise Labott
2022· article· en· The Journal of Intelligence Conflict and Warfare· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reflecting on the how questions
Deborah Stienstra
2024· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
People, Ideas, Impact
Stark C. Draper
2023· article· en· IEEE BITS the Information Theory Magazine· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Educational Evaluation as Hermes
Ying Ma
2024· article· en· Journal of Contemplative and Holistic Education· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
What an Ounce of Prevention can do for your Practice
Maggie Green, Brian Gomes
2015· article· en· Canadian journal of optometry/CJO. Canadian journal of optometry· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Connecting to Decision-Making
Susan G. Clark, Evan J. Andrews, Ana E. Lambert
2025· book-chapter· en· Natural resource management and policy· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Steel River’s Integrated Consultation and Engagement Approach Complimented by the One-Team Approach and Collective Impact Model | Consultation Intégrée et Approche D’engagement de Steel River Complimenté Par le Modèle des Retombées Collectives et Par la Démarche D’équipe Unifiée
Kristopher Fequet, Candace Robertson Shattler
2025· article· Proceedings of the Canadian Rural Revitalization Foundation· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About