MétaCan
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.

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
Phonetics and Phonology Research
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.

2,728 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.
2,728 works in the cohort · of 4,299,418page 13 of 55

Labels cover 3 of 2,728 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 2,728 of 2,728 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.

affunlabeled
<i>Phonological CorpusTools</i>
Kathleen Currie Hall, J. Scott Mackie, Roger Yu-Hsiang Lo
2019· article· en· International Journal of Corpus Linguistics· Psychology
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
The Goldilocks Zone of Perceptual Learning
Molly Babel, Michael McAuliffe, Carolyn Norton, Brianne Senior, Charlotte Vaughn
2019· article· en· Phonetica· Psychology
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Stress perception
Sofía Romanelli, Andrea C. Menegotto
2015· article· en· Journal of Second Language Pronunciation· Psychology
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Tongue Retraction in Arabic: An Ultrasound Study
Hamed Altairi, Jason Brown, Catherine Watson, Bryan Gick
2017· article· en· Proceedings of the Annual Meetings on Phonology· Psychology
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
The Neural Code That Makes Us Human
Yosef Grodzinsky, Israel Nelken
2014· letter· en· Science· Psychology
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Indexation to stems and words
Peter Jurgec, Bronwyn M. Bjorkman
2018· article· en· Phonology· Psychology
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About