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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 of Teaching Practices
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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
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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.

912 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.
912 works in the cohort · of 4,299,418page 2 of 19

Labels cover 2 of 912 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 912 of 912 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
Teaching style and learning in a quantitative classroom
Jan Giles, Daniel A. J. Ryan, George Belliveau, Elizabeth de Freitas, Ryan Casey
2006· article· en· Active Learning in Higher Education· Social Sciences
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Does educational development matter?
Christopher K. Knapper
2016· article· en· The International Journal for Academic Development· Social Sciences
machine prediction:candidate · noneconsensus · none
41
citations
affaboutunlabeled
Grade Inflation: Should We Be Concerned?
Judith M. Scanlan, W. Dean Care
2004· article· en· Journal of Nursing Education· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
37
citations
afffundaboutunlabeled
SoTL in the Margins: Teaching-Focused Role Case Studies
Nicola Simmons, Lauren Scharff, Michelle J. Eady, Diana Gregory
2021· article· en· Teaching & Learning Inquiry The ISSOTL Journal· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
36
citations
affaboutunlabeled
Does motivation matter?
Darren W. Dahl, K. Smimou
2011· article· en· Managerial Finance· Social Sciences
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Reflecting on teaching: The influence of context
Patricia Cranton, Ellen Carusetta
2002· article· en· The International Journal for Academic Development· Social Sciences
machine prediction:candidate · noneconsensus · none
34
citations
venueno affunlabeled
Teaching Insights from Adult Learning Theory
Cassandra Volpe Horii
2007· article· en· Journal of Veterinary Medical Education· Social Sciences
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Broadening Our Approach to Teaching Evaluation
Christopher K. Knapper
2001· article· en· New Directions for Teaching and Learning· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
32
citations
affunlabeled
Integrated Threshold Concept Knowledge
Jan H. F. Meyer, Julie A. Timmermans
2016· book-chapter· en· Educational futures· Social Sciences
machine prediction:candidate · noneconsensus · none
31
citations

How this was built: Screen · Findings · About