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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.

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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Wildlife Conservation and Criminology Analyses
Retraction
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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.

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.

562 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
562 works in the cohort · of 4,299,418page 4 of 12

Labels cover 0 of 562 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 562 of 562 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.

afffundaboutunlabeled
Learning from positive deviants in fisheries
Laurenne Schiller, Gregory L. Britten, Graeme Auld, Boris Worm
2024· article· en· Fish and Fisheries· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Criminology: Re-Imagining Security and Risk
Jan Froestad, Clifford Shearing, Melani Van der Merwe
2015· article· en· SSRN Electronic Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Cultural Criminology
Jeff Ferrell, Keith Hayward, Michelle Brown
2017· reference-entry· en· Oxford Research Encyclopedia of Criminology and Criminal Justice· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Critical Criminology in Canada
2011· book· en· University of British Columbia Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
AI and Technology-Facilitated Violence and Abuse
Jane Bailey, Jacquelyn Burkell, Suzie Dunn, Chandell Gosse, Valerie Steeves
2020· article· en· eYLS (Yale Law School)· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
10.2307/3505236
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
5
citations
affunlabeled
The Anti-deterrence Hypothesis
Frédéric Megret
2020· article· en· Journal of International Criminal Justice· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Framing the picture
J. Russell Nelson, Adie Nelson
2013· article· en· International Review of Victimology· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Chromosomal Evolution in Psittaciformes. Revisited
A. Villa Rus, Juan C. Cigudosa, Ana Otero Gómez, Teresa Almeida, S. Joshua, José Luis García Miranda
2016· article· en· International Journal of Biology· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About