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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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Participatory Visual Research Methods
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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.

1,441 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.
1,441 works in the cohort · of 4,299,418page 6 of 29

Labels cover 90 of 1,441 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 1,441 of 1,441 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.

affgemma · no categorygpt · metaresearchmodels split
Elicitation as a Mind-Set: Why Visual Data Matter?
Kerstin Roger, Constance Blomgren
2019· article· en· International Journal of Qualitative Methods· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
25
citations
affunlabeled
Creative nonfiction and narrative inquiry
Cynthia Levine‐Rasky
2019· article· en· Qualitative Research Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
23
citations
aboutno affunlabeled
The Impact of Co-Production
2017· book· en· Policy Press eBooks· Social Sciences
machine prediction:candidate · stsconsensus · none
23
citations
affunlabeled
Nanâtawihowin Âcimowina Kika-Môsahkinikêhk Papiskîci-Itascikêwin Astâcikowina [Medicine/Healing Stories Picked, Sorted, Stored]: Adapting the Collective Consensual Data Analytic Procedure (CCDAP) as an Indigenous Research Method
Danette Starblanket, Sebastien Lefebvre, Marlin Legare, Jen Billan, Nicole Akan, Erin Goodpipe +1 more
2019· article· en· International Journal of Qualitative Methods· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
22
citations
affunlabeled
Experience of Vulnerable Women Narrated through the Body-Mapping Technique
Jacqueline de Souza, Carla Aparecida Arena Ventura, Jordana Luiza Gouvêa de Oliveira, Loraine Vivian Gaino, Juliana Cristina dos Santos Monteiro, Jaqueline Lemos de Oliveira +3 more
2021· article· en· International Journal of Environmental Research and Public Health· Social Sciences
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Whither Tobacco Studies?
Kirsten Bell
2012· article· en· Sociology Compass· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
21
citations
afffundunlabeled
Creative action research
Robin S. Cox, Cheryl Heykoop, Sarah Fletcher, Tiffany Hill, Leila Scannell, Laura H. V. Wright +3 more
2021· article· en· Educational Action Research· Social Sciences
machine prediction:candidate · noneconsensus · none
21
citations
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How this was built: Screen · Findings · About