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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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Foreign Language Teaching Methods
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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.

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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.

142 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.
142 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 142 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 142 of 142 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.

venueno affunlabeled
Socio-Cultural Competence in Teaching Foreign Languages
Igor O. Guryanov, Alina E. Rakhimova, Marisol C. Guzman
2019· article· en· International Journal of Higher Education· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
venueno affunlabeled
Digital Tools in Teaching the Mass Media Language
Liudmyla Mialkovska, Liudmyla ZHVANIA, Mariia Rozhylо, Оксана Теребус, Maksym Yablonskyy, V. P. Hrysiuk
2023· article· en· World Journal of English Language· Social Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affvenueno abstractunlabeled
Distance Education for Language Teachers
Ruth Epstein
2008· article· en· International journal of e-learning & distance education· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Online training for healthcare workers
Colla J. MacDonald, Emma J. Stodel, Lynn Casimiro
2005· article· en· eLearn· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
venueno affunlabeled
Questions of Development of Students’ Functional Literacy
Zhainagul Beisenova, Kulanda Kanafiyeva, Saltanat Moldakhmetova, Zhanar Kuandykova
2020· article· en· Journal of Intellectual Disability - Diagnosis and Treatment· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Distance/mixed education: features of perception of student youth
D. A. Vorona, D. S. Kobzar, H. V. Letiaho, Olga Matvienko, V. G. Chernusky, О. Л. Говаленкова +3 more
2021· article· en· Problems of Uninterrupted Medical Training and Science· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About