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
Topic
Language Development and Disorders
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.

1,803 results · 1 filter active ·
Results by year
20002025
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.
1,803 works in the cohort · of 4,299,418page 12 of 37

Labels cover 1 of 1,803 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 1,803 of 1,803 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
Morphological cues to verb meaning
Laura Carr, Judith R. Johnston
2001· article· en· Applied Psycholinguistics· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Do Children Interpret ‘or’ Conjunctively?
Dimitrios Skordos, Roman Feiman, Alan Bale, David Barner
2020· article· en· Journal of Semantics· Psychology
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
When Language Breaks Down
Jessica de Villiers
2010· book· en· Cambridge University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
On the development of null implicit objects in L1 English
Ana Teresa Pérez‐Leroux, Mihaela Pirvulescu, Yves Roberge, Anny Patricia Castilla
2013· article· en· The Canadian Journal of Linguistics / La revue canadienne de linguistique· Psychology
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Abstract
Joseph Jaffe, Beatrice Beebe, Stanley Feldstein, Cynthia L. Crown, Michael Jasnow
2001· article· en· Monographs of the Society for Research in Child Development· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
23
citations
afffundunlabeled
Segmentation of verb forms in preverbal infants
Alexandra Marquis, Rushen Shi
2008· letter· en· The Journal of the Acoustical Society of America· Psychology
machine prediction:candidate · noneconsensus · none
22
citations
← previousnext →

How this was built: Screen · Findings · About