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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
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.

912 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.
912 works in the cohort · of 4,299,418page 4 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Developing successful workshops: a workshop for educators
Yvonne Steinert, Miriam Boillat, Sarkis Meterissian, Stephen Liben, Peter J. McLeod
2008· article· en· Medical Teacher· Social Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
21
citations
affaboutunlabeled
What do students consider useful about student ratings?
Tanya Beran, Claudio Violato, Don Kline, Jim Frideres
2008· article· en· Assessment & Evaluation in Higher Education· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
21
citations
venueno affunlabeled
An Attempt to Estimate Students’ Workload
M. Pogačnik, Primož Južnič, M. Kosorok-Drobnic, A. Pogacnik, V. Cestnik, J. Kogovsek +2 more
2004· article· en· Journal of Veterinary Medical Education· Social Sciences
distilled prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Examining the Focus of SoTL Literature—Teaching and Learning?
Karen Manarin, Christine Adams, Richard Fendler, Heidi L. Marsh, Ethan Pohl, Suzanne Porath +1 more
2021· article· en· Teaching & Learning Inquiry The ISSOTL Journal· Social Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+research_integrityconsensus · metaresearch
20
citations
afffundunlabeled
The Scholarship of Teaching and Learning: A Scoping Review Protocol
Nancy Chick, Lorelli Nowell, Bartlomiej A. Lenart
2019· review· en· Teaching & Learning Inquiry The ISSOTL Journal· Social Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+scholarly_communication+research_integrityconsensus · metaresearch
18
citations
affunlabeled
Data Mining of Undergraduate Course Evaluations
Yuheng Helen Jiang, Sohail Syed JAVAAD, Lukasz Golab
2016· article· en· Informatics in Education· Social Sciences
distilled prediction:candidate · noneconsensus · none
16
citations
aboutno affunlabeled
“Great classroom teaching” and more
Michael Jackson
2006· article· en· International Journal of Educational Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
16
citations
afffundvenueunlabeled
Student Anxiety and Evaluation
Kerry Hull, Heather L. Lawford, Suzanne Hood, Vanessa Oliveira, Michele Murray, Maxime Trempe +3 more
2019· article· en· Collected Essays on Learning and Teaching· Social Sciences
distilled prediction:candidate · stsconsensus · none
15
citations

How this was built: Screen · Findings · About