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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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Educational Strategies and Epistemologies
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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.

434 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.
434 works in the cohort · of 4,299,418page 6 of 9

Labels cover 1 of 434 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 434 of 434 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
En-garde: Source Evaluations in the Digital Age
Courtney A. Denton, Krista R. Muis, Adam K. Dubé, Skylar Armstrong
2022· article· en· Advances in Social Sciences Research Journal· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Epistemic Dissonance Encountered
Xihui Wang, Alenoush Saroyan, Mark W. Aulls
2015· book-chapter· en· Advances in higher education and professional development book series· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Gifted Learners' Epistemological Beliefs
Marion Porath, Judy Lupart, Jennifer Katz, Constantine Ngara, Pamela Richardson
2009· article· en· Journal of Talent Development and Excellence· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
Revisiting the STEM Acronym: Toward Conceptual Clarity
Neil Guppy, Kamila Kolpashnikova, Katherine Lyon
2025· article· en· Canadian Journal of Science Mathematics and Technology Education· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Making the Journal Abstract More Concrete
James Hartley
2011· article· en· Journal of Scholarly Publishing· Psychology
machine prediction:candidate · metaresearchconsensus · none
1
citations

How this was built: Screen · Findings · About