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
Canadian Policy and Governance
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.

9,787 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.
9,787 works in the cohort · of 4,299,418page 158 of 196

Labels cover 3 of 9,787 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 9,787 of 9,787 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.

aboutno affunlabeled
AIA faces uncertain future
Alison Tucker
2008· article· en· Jane's airport review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Impact of NAFTA on Canada
Haiying Zhao
2012· article· en· Journal of Inner Mongolia University· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ultra-low-cost Canada
Joe Kavanagh
2015· article· en· Airfinance journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian Political Facts and Trends
2006· book-chapter· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
In Canada : R-E-S-P-E-C-T
Heather-jane Robertson
2000· article· en· Phi Delta Kappan· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
ROAD DAMAGE AND TRADE SHIFTS: A CORRIDOR ANALYSIS OF NAFTA MOVEMENTS
K L Casavant, J C Lenzi, Ken Eriksen
2001· article· en· Selected Proceedings of the 9th World Conference on Transport ResearchWorld Conference on Transport Research Society· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affno abstractunlabeled
Paved With Good Intentions: Canada
Madalena Santos
2015· article· en· Alternate routes· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Perspectives on Fiscal Federalism
Richard Bird, François Vaillancourt
2006· preprint· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Success of the Light Armoured Vehicle
Frank Maas
2011· article· en· Scholars Commons (Wilfrid Laurier University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About