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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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Language Problems & Language Planning
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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.

28 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.
28 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 28 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 28 of 28 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.

afffundunlabeled
How can language be linked to economics?
Weiguo Zhang, Gilles Grenier
2013· article· en· Language Problems & Language Planning· Arts and Humanities
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Learner agency in language planning
Jeff Brown
2015· article· en· Language Problems & Language Planning· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
Quebec’s new language dynamic
Charles Castonguay
2019· article· en· Language Problems & Language Planning· Social Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Linguistic capital
Chris Harwood, Conttia Lai
2017· article· en· Language Problems & Language Planning· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Parity in the plural
Yael Peled
2015· article· en· Language Problems & Language Planning· Social Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Serbo-Croatian
Vedran Dronjic
2011· article· en· Language Problems & Language Planning· Arts and Humanities
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Crossing the Line in Quebec and Catalonia
Paul O'Donnell
2000· article· en· Language Problems & Language Planning· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Pluricentric linguistic justice in Quebec
Leigh Oakes, Yael Peled
2021· article· en· Language Problems & Language Planning· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Aménagement et politique linguistiques
Nazam Halaoui
2001· article· fr· Language Problems & Language Planning· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About