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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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Science Education and Perceptions
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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.

299 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.
299 works in the cohort · of 4,299,418page 5 of 6

Labels cover 3 of 299 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 299 of 299 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
Mary Shelley’s milieu, brought to life
A. Mark Clarfield
2013· article· en· Canadian Medical Association Journal· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Consumerism & Science Education
Larry Bencze, Steven Alsop
2011· article· en· Journal for Activist Science and Technology Education· Psychology
machine prediction:candidate · stsconsensus · none
0
citations
venueaboutno affunlabeled
Knowing the score
Heather Kent
2000· article· en· Canadian Medical Association Journal· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Inaudible Symphony: Harmony in Queen Mab
Houjuan Zhou
2017· article· en· Studies in literature and language· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
My River My Home: Both Art and Science
S. L. Gillies, A. Janmaat, S. J. Marsh, Bernhard Peucker‐Ehrenbrink, Bruna Luiza Claudiano Voss, R. M. Holmes +2 more
2014· article· en· 2014 AGU Fall Meeting· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Métamorphoses et clonage
Sandra Grant Marchand, Jean-Ernest Joos, Véronique Lefèbvre, Marcel Brisebois
2001· book· fr· Musée d'art contemporain de Montréal eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Turning the Spotlight on Science
Derek Hodson
2011· book-chapter· en· SensePublishers eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Beauty Through STEM Rejoinder: Part III
David Blades
2017· article· en· Journal for Activist Science and Technology Education· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
What the Swans Know
Nan Bryne
2004· article· en· Canadian women's studies· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2022· dataset· en· Global Biodiversity Information Facility· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
What I Knew of Pigeons
Jeanette Lynes
2007· article· en· Canadian women's studies· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
The Frog Who Would Be as Big as an Ox
Myrella Roy
2008· article· en· The Canadian Journal of Hospital Pharmacy· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Being and becoming scientists
Susan A. Kirch, Michele Amoroso
2016· book-chapter· en· SensePublishers eBooks· Psychology
machine prediction:candidate · stsconsensus · none
0
citations
aboutno affunlabeled
Bio-art : Quand l'art rencontre la science
Konstantia Koutouki, Ernestine Daubner
2007· article· fr· Érudit documents and data repository (Érudit Consortium, University of Montreal)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Caged
MR.
2000· article· en· Tessera· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Language of Trees
Lorraine A Martinuik
2013· article· en· ScholarWorks - UNO (University of New Orleans)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Jumping Spider
Harvey Schmidt
2010· article· en· Blue Jay· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
#DistractinglySexist
Roula Farag
2020· article· en· Health Science Inquiry· Psychology
machine prediction:candidate · stsconsensus · none
0
citations
aboutno affunlabeled
AGENTS FOR CHANGE
2021· article· pt· Zenodo (CERN European Organization for Nuclear Research)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
The lady vanishes
Arash Emamzadeh
2012· article· en· Canadian Medical Association Journal· Psychology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About