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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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Digital Storytelling and Education
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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.

919 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.
919 works in the cohort · of 4,299,418page 12 of 19

Labels cover 4 of 919 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 919 of 919 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.

affaboutunlabeled
Chasing the Aurora Borealis
Richard P. Hechter
2020· article· en· The Physics Teacher· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
The Reader's Sticky Note
Yin Yin
2017· article· en· Phenomenology & Practice· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Emergence as Method
Monique Tschofen, Jolene Armstrong
2024· article· en· Interactive Film and Media Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Polyphonic Documentary
Stefano Odorico, Judith Aston
2023· article· en· Interactive Film and Media Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Story Telling is Not Fibbing!
Cecil Hamilton
2004· article· en· Teaching and Learning· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Code-Driven Narratives
Roderick Coover
2025· article· en· Interactive Film and Media Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Mirroring Alice
Marnie Campagnaro
2021· article· en· IASL Annual Conference Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Teaching through Storytelling
Cory Ingram
2020· article· en· International Journal of Whole Person Care· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Preservice Teacher Curriculum Reform
Lovisa Fung
2024· book-chapter· en· Springer international handbooks of education· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Images of our Writing
Linlin Tan, Yu Hu, Haoyuan Li, Xingyi Wang
2020· article· en· Writing across the University of Alberta· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About