MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Mouseion Journal of the Classical Association of Canada
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

470 results · 1 filter active ·
Results by year
20012025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
470 works in the cohort · of 4,299,418page 8 of 10

Labels cover 1 of 470 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 470 of 470 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.

affvenueaboutunlabeled
Acknowledgments / Remerciements
Kathrin Koslicki, John P. Harris
2018· article· en· Mouseion Journal of the Classical Association of Canada· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
C.W. Marshall. <i>Aeschylus: Libation Bearers</i>
Marsh McCall
2020· article· en· Mouseion Journal of the Classical Association of Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Avant-propos
2001· article· en· Mouseion Journal of the Classical Association of Canada
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Poets and Lovers in the Snow
2003· article· fr· Mouseion Journal of the Classical Association of Canada· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Laudatio for Nigel Crowther
Reyes Bertolín Cebrián
2019· article· en· Mouseion Journal of the Classical Association of Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Roman Glass Gaming Pieces or Jewels
2001· article· fr· Mouseion Journal of the Classical Association of Canada· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A anistia e o papel do perdão e do esquecimento.
Aline Leal Fontanella Klemt
2010· article· en· Mouseion Journal of the Classical Association of Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Front Matter
2021· paratext· en· Mouseion Journal of the Classical Association of Canada
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
A Thankless People (Hdt. 5.91.2)
David C. Mirhady
2020· article· en· Mouseion Journal of the Classical Association of Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
An Echo of Sappho in Favorinus?
2002· article· fr· Mouseion Journal of the Classical Association of Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About