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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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Digital Storytelling and Education
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.

919 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.
919 works in the cohort · of 4,299,418page 18 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.

aboutno affunlabeled
Books and Publications
Luciano Lista, Harry K. T. Wong, Rosemary T. Wong
2010· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
EDITORIAL: The power of storytelling
Margaret I. Fitch
2020· editorial· en· DOAJ (DOAJ: Directory of Open Access Journals)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Stories of a teacher and his students
Rina Zazkis, Peter Liljedahl
2009· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Co-Creation in Community-based Storytelling
Augustus Segar
2023· article· en· Interactive Film and Media Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
I-Docs and New Narratives
Begoña González-Cuesta
2021· article· en· Interactive Film and Media Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Picture Books: Puzzles and Possibilities
Margo Pickworth
2021· article· en· IASL Annual Conference Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
So You Like Taking Photos Huh
2024· article· en· The Motley Undergraduate Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Supporting student agency with transmedia
Amanda Hovious, Valerie Harlow Shinas, Ian Harper
2018· article· en· Proceedings of the Association for Information Science and Technology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cultural Adaptation on YouTube
Sevda Kaya Kitınur
2025· article· M/C Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
“Say Their Names”
Melissa McLetchie
2021· article· en· New Sociology Journal of Critical Praxis· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Local Community as Story and Culture
W. Bernard Lukenbill
2021· article· en· IASL Annual Conference Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Build your story
Lynne Garner
2016· article· en· Practical Pre-School· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
But Do They Care?
Kathleen M. Ryan, Elizabeth A. Skewes, Tammy Matthews
2022· article· en· Interactive Film and Media Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About