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
Gender, Security, and Conflict
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.

939 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.
939 works in the cohort · of 4,299,418page 2 of 19

Labels cover 1 of 939 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 939 of 939 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.

venueno affunlabeled
"There is a War Going on You Know"
Mónica McWilliams, Fionnuala Ní Aoláin
2013· article· en· Transitional justice review· Social Sciences
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Paradigms in Conflict
Mohammed Nuruzzaman
2006· article· en· Cooperation and Conflict· Social Sciences
machine prediction:candidate · noneconsensus · none
29
citations
affgemma · stsgpt · no categorymodels split
Seeing and Unmaking Civilians in Afghanistan
Christiane Wilke
2017· article· en· Science Technology & Human Values· Social Sciences
machine prediction:candidate · stsconsensus · none
29
citations
afffundunlabeled
Knowing Women
Doris Buss
2013· article· en· Social & Legal Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
29
citations
affno abstractunlabeled
Interventions in banal neoimperialism
Steven Flusty, Jason Dittmer, Emily Gilbert, Merje Kuus
2008· article· en· Political Geography· Social Sciences
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Just War
Beatrice Jauregui
2015· article· en· Conflict and Society· Social Sciences
machine prediction:candidate · noneconsensus · none
28
citations
aboutno affunlabeled
The Past, Present, and Future(s) of Feminist Foreign Policy
Columba Achilleos-Sarll, Jennifer Thomson, Toni Haastrup, Karoline Färber, Carol Cohn, Paul Kirby
2022· article· en· International Studies Review· Social Sciences
machine prediction:candidate · noneconsensus · none
28
citations
aboutno affunlabeled
Discontent Within the Ranks?
Lindy Heinecken
2008· article· en· Armed Forces & Society· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affaboutunlabeled
Gender Identity in the Canadian Forces
Alan Okros, Denise Benoit Scott
2014· article· en· Armed Forces & Society· Social Sciences
machine prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
“Women with nothing to lose”
Samantha Wehbi
2002· article· en· Women s Studies International Forum· Social Sciences
machine prediction:candidate · noneconsensus · none
26
citations

How this was built: Screen · Findings · About