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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.

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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.

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Gender, Security, and Conflict
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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.

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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 ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
939 works in the cohort · of 4,299,418page 19 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.

aboutno affunlabeled
Sexual Violence
Amber Dean
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Terms of Engagement
Christine Conley
2018· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Child Soldiers
Marty Zelenietz
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian forces soldiers
2007· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Military Impact of Canadian
2006· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Call-Up 7893-04
2008· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Deterring in the Baltics
Stéfanie von Hlatky
2022· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Advising and Assisting in Iraq
Stéfanie von Hlatky
2022· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction
Nicholas Bamforth
2005· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
War’s Infantilizing Effect
Jennine Hurl-Eamon
2025· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
From Margin to Mandate
Erum Naz
2025· book-chapter· ng· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Narratives of Success
Laura J. Shepherd
2021· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About