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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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Online and Blended Learning
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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.

3,545 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.
3,545 works in the cohort · of 4,299,418page 59 of 71

Labels cover 14 of 3,545 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 3,545 of 3,545 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
Qualitative Standards for E-Learning
Krista Breithaupt, Colla J. MacDonald
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
IRRODL year in review
Terry Anderson
2009· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Model for the Classroom Environment
Marjorie Bond, Leyla Batakci, Douglas Whitaker, Wendine Bolon, April Kerby-Helm, Alana Unfried +1 more
2022· article· en· Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Evaluation of a Project to Develop Learning Management Competency Using Digital Technology Among Teachers in a Bangkok School in Order to Facilitate the Learning Loss Recovery of Basic Education Level Students: Applying Kirkpatrick’s Concepts and Model
Nattaphol Thanachawengsakul, Trinnakorn Katekunlaphan, Lekruthai Khantongchai, Akhaphan Thanyavinichakul
2024· article· en· Journal of Education and Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About