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
Digital Communication and Language
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.

490 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.
490 works in the cohort · of 4,299,418page 7 of 10

Labels cover 2 of 490 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 490 of 490 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.

venueaboutno affunlabeled
New Media Language (review)
Heather Lotherington
2005· article· fr· Canadian Modern Language Review/ La Revue canadienne des langues vivantes· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Making Sense Of Life In 2017 - Metaphors Of The Internet
Annette Markham, Jessa Lingel, Kristian Möller, Kevin Driscoll, Katie Warfield
2017· article· en· AoIR Selected Papers of Internet Research· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Meme Based on Samael's Song "Slavocracy"
Kim Jashua Dacutanan
2024· article· en· Writing across the University of Alberta· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Biostats-uOttawa/enfR: first separate fr doi
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Conclusions / Final Thoughts
Giuseppe Carenini, Gabriel Murray, Raymond T. Ng
2011· book-chapter· en· Synthesis lectures on data management· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
From Emoticons to CJHP
Mary H. H. Ensom
2008· article· en· The Canadian Journal of Hospital Pharmacy· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
<i>Language, Literacy and Technology</i> by R. Kern
Catherine Caws
2017· article· en· Canadian Modern Language Review/ La Revue canadienne des langues vivantes· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Microtext Processing
Richard Khoury, Raphaël Khoury, Abdelwahab Hamou‐Lhadj
2017· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Internet use genres
Maria Bakardjieva, Isabel Pavez Andonaegui, Teresa Correa, Trang Pham
2024· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About