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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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Outdoor and Experiential 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.

492 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.
492 works in the cohort · of 4,299,418page 9 of 10

Labels cover 0 of 492 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 492 of 492 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
Editorial: oSoTL 4(1)
Vicki Dale, Matthew Barr, Mark Charters, Nathalie Tasler
2025· editorial· en· Open Scholarship of Teaching and Learning· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
The Mountain is Moving
Clara Thomas
2000· article· en· Canadian women's studies· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A search for an outdoors inspired mathematics curriculum
Timothy Sibbald, Carmen Wehrstedt, Jill Lazarus, Alan Michael Warren, Tiberiu Veres
2018· article· en· 2018 Conference of the Canadian Society for the Study of Education· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
All Our Relations
Joey‐Lynn Wabie, Taylor Watkins, Marnie Anderson, Anastacia Chartrand, Arijana Haramincic
2023· book-chapter· en· Advances in educational technologies and instructional design book series· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Application
Aerin Semus, Ryan Essery
2020· book-chapter· en· Advances in educational marketing, administration, and leadership book series· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Is the sky the limit
Guro Sotkajærvi Edvartsen
2013· dissertation· en· Duo Research Archive (University of Oslo)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Editorial: Outdoor Play and Early Learning
Blair Niblett, P. T. Maher, Greg Lowan-Trudeau
2020· editorial· en· Canadian journal of environmental education· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Outdoor Education in Aotearoa New Zealand
Patrick Maher
2014· article· en· Journal of Experiential Education· Psychology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About