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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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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.

639 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.
639 works in the cohort · of 4,299,418page 5 of 13

Labels cover 0 of 639 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 639 of 639 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.

affvenueunlabeled
Perspectives transhistoricistes1
Alexis Nouss
2008· article· fr· TTR traduction terminologie rédaction· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Sarah Kofman: Effecting Self Translation
Christie McDonald
2007· article· en· TTR traduction terminologie rédaction· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Traduire la banlieue : défis et obstacles
Ilaria Vitali
2019· article· fr· TTR traduction terminologie rédaction· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Translation and Loss-Aversion1
Tal Goldfajn
2020· article· en· TTR traduction terminologie rédaction· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Dénis de traduction et désir de traduire
Yves Gambier
2016· article· fr· TTR traduction terminologie rédaction· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
Presentation
Anne Malena
2000· article· fr· TTR traduction terminologie rédaction
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations

How this was built: Screen · Findings · About