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
Psychological Well-being and Life Satisfaction
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.

1,756 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.
1,756 works in the cohort · of 4,299,418page 21 of 36

Labels cover 4 of 1,756 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 1,756 of 1,756 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
Art and Well-Being
Kevin Melchionne
2017· article· en· Estetika The European Journal of Aesthetics· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
Poverty and Obesity in Developed Countries
Chad D. Meyerhoefer, Muzhe Yang
2015· book-chapter· en· Oxford University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
French Adaptation of the Strengths Use Scale
Nicolas Bressoud, Rébecca Shankland, Philippe Dubreuil, Jacques Forest, Karel Belleville, Andrea C. Samson +1 more
2023· article· en· Journal of Psychoeducational Assessment· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Happiness and Social Capital
Ambrose Leung, Cheryl A. Kier, Robert Sproule
2023· book-chapter· en· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
The Social Indicators Movement
R. Allan Freeze
2022· book-chapter· en· Social indicators research series· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Introversion, Solitude, and Happiness
John M. Zelenski, Karin Sobocko, Deanna C. Whelan
2021· other· en· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The Cost of Being Too Patient
Paola Giuliano, Paola Sapienza
2020· article· en· AEA Papers and Proceedings· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Financial Situation of College Students
Onur Mutlu Yaşar, Murat Turğut
2020· article· en· World Journal of Education· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
Le bonheur des gens heureux
Mélanie Veilleux, Lucie Mandeville, Karine Morin
2017· article· fr· Revue québécoise de psychologie· Psychology
machine prediction:candidate · noneconsensus · none
2
citations
← previousnext →

How this was built: Screen · Findings · About