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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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EFL/ESL Teaching and 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
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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.

3,733 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.
3,733 works in the cohort · of 4,299,418page 67 of 75

Labels cover 0 of 3,733 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 3,733 of 3,733 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
What impact can a TBLT teacher education course have?
Xavier Gutiérrez, Leila Ranta, Greg Ogilvie
2025· article· en· TASK Journal on Task-Based Language Teaching and Learning· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Applied linguistics
2007· article· en· Language Teaching· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
L3 English Learning and Teaching
John Archibald, Junyu Wu
2025· other· en· The TESOL Encyclopedia of English Language Teaching· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
University Success Oral Communication
Shumin Li
2017· article· en· Studies in literature and language· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Teacher education
2006· article· en· Language Teaching· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
A narrative inquiry into a Chinese teacher
Yuanli Chen
2018· article· en· 2018 Conference of the Canadian Society for the Study of Education· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Task-Based Approach to Grammar Teaching
Naima Trimasse
2016· article· en· Higher education of social science· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Making French Real
Julie Webb
2012· article· en· Antistasis· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About