MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Facilities and Workplace Management
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

386 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
386 works in the cohort · of 4,299,418page 2 of 8

Labels cover 1 of 386 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 386 of 386 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.

affunlabeled
Preparing for an uncertain future
Wes McGregor
2000· article· en· Facilities· Psychology
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Performance Concept in Building
R. F. Legget, N. B. Hutcheon
2009· book-chapter· en· ASTM International eBooks· Psychology
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Toward a user-centered built environment
Philip Agee, William O’Brien, Julia K. Day, Connor Brackley
2020· article· en· Science and Technology for the Built Environment· Psychology
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
Environment, health, and safety
Juan Wang, Xiao Li
2024· book-chapter· en· Edward Elgar Publishing eBooks· Psychology
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
Which types of firm use collaborative innovative spaces?
David Doloreux, Richard Shearmur, Raphaël Suire, Anne Berthinier‐Poncet
2023· article· en· Creativity and Innovation Management· Psychology
machine prediction:candidate · noneconsensus · none
8
citations
affvenueunlabeled
Elevators or stairs?
Svati H. Shah, Mike OʼByrne, Mark G. Wilson, Timothy D. Wilson
2011· article· en· Canadian Medical Association Journal· Psychology
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affno abstractunlabeled
Coworking and the 15-Minute City
Guillaume Chanson, Evelyn Sakka
2023· book-chapter· en· Elsevier eBooks· Psychology
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Active workplace design: current gaps and future pathways
Mohammad Javad Koohsari, Andrew T. Kaczynski, Akitomo Yasunaga, Tomoya Hanibuchi, Tomoki Nakaya, Gavin R. McCormack +1 more
2024· article· en· British Journal of Sports Medicine· Psychology
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Speech levels in open plan offices
A. C. C. Warnock, Wing T. Chu
2001· article· en· The Journal of the Acoustical Society of America· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
← previousnext →

How this was built: Screen · Findings · About