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
Sport and Mega-Event Impacts
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.

2,273 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.
2,273 works in the cohort · of 4,299,418page 28 of 46

Labels cover 3 of 2,273 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 2,273 of 2,273 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.

affaboutno abstractunlabeled
Canada Tourism
Scott Meis
2023· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Module 9 Unit 1-2单元练习
Shi Ling Bernice Yong
2014· article· ja· 中学课程辅导：高考版· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Mixed Activities
Lee Davidson, Robert A. Stebbins
2011· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduction: Olympic Perspectives
Stephan Wassong, Richard Baka, Janice Forsyth
2016· article· en· The International Journal of the History of Sport· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction
Keith A. P. Sandiford
2017· book-chapter· en· Manchester University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Leisure
Alex C. Michalos, Alex C. Michalos
2014· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Useeit’s Odyssey
Avalyn Hunter
2023· book-chapter· en· University Press of Kentucky eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nightjar nonsense
Adrian Burton
2015· review· en· Frontiers in Ecology and the Environment· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
WORKING PAPER SERIES
2003· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Les jeux olympiques de Montréal
Denis Racine
2016· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Consumption and Leisure in Context
Robert A. Stebbins
2009· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About