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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.

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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 69 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.

aboutno affunlabeled
T IO
2015· article· en· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Book Reviews
Joanne Froese, Lori Lobchuk, Jayesh Maniar, Ellen Pilon, Toshiyuki Takagaki, Sandee Thompson
2005· article· en· TESL Canada Journal· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Language acquisition through digital games
Sarah Vanderwal
2015· article· en· Mount Royal Undergraduate Education Review· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Teaching English Compound Noun Stress
Yvon-Pierre Ndongo Ibara, Roland Giscard ONDZE OTOUBA, Jules Bianchiny Ossere Mounguellet
2019· article· en· English Language Teaching· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
What makes a task difficult?
Parvaneh Tavakoli, Farahnaz Faez
2025· article· en· TASK Journal on Task-Based Language Teaching and Learning· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Norton, Bonny
Christina Higgins
2012· other· en· The Encyclopedia of Applied Linguistics· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Foreword
Rosa M. Manchón
2025· article· en· Canadian Journal of Applied Linguistics· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Classroom strategies and ideas
Ruth Wilson
2019· article· en· SecEd· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
From the Editor
Thomas Robb
2023· article· en· Teaching English as a Second or Foreign Language--TESL-EJ· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Coda: Institutionalizing L2 Writing
Paul Kei Matsuda
2024· article· en· TESL Canada Journal· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Theatre for All
Kyle Munns, Barbara Brough
2021· article· en· Journal of Student Research· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Reexamining Notions of the L2 Syllabus
Mark James
2001· article· en· TESL Canada Journal· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
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