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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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Lexicography and Language Studies
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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.

778 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
778 works in the cohort · of 4,299,418page 4 of 16

Labels cover 3 of 778 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 778 of 778 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
General Issues of Homonymy in the Persian Language
Mastura N. Akhmedova, Almira K. Garayeva
2015· article· en· Journal of Sustainable Development· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Revisiting the Description of Tense in English
Roseline Abonego Adejare
2022· article· en· International Journal of English Linguistics· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
ENGLISH ... WHERE DO WE GO FROM HERE?
Jacques Picard
2012· article· en· Scientia Militaria South African Journal of Military Studies· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
In praise of Edward Phillips
John Considine
2015· article· en· Studia Linguistica Universitatis Iagellonicae Cracoviensis· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
Innovation and Inspiration
Kenn Harper
2002· article· en· Meta Journal des traducteurs· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
Inuktitut and parliamentary terminology
Paul Okalik
2011· article· en· Canadian parliamentary review· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Caribbean Lexicography
Lise Winer
2006· book-chapter· en· Elsevier eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Protracted development in the heritage lexicon
Mengyao Shang, Lucy Zhao, Virginia Yip, Ziyin Mai
2024· article· en· Linguistic Approaches to Bilingualism· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Abbreviations in Maritime English
Yang Zhirong
2011· article· en· English Language Teaching· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About