MétaCan
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.

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
Qualitative Research Methods and Ethics
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.

1,143 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.
1,143 works in the cohort · of 4,299,418page 1 of 23

Labels cover 48 of 1,143 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 1,143 of 1,143 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
The Analytic Challenge in Interpretive Description
Sally Thorne, Sheryl Reimer‐Kirkham, Katherine O'Flynn-Magee
2004· article· en· International Journal of Qualitative Methods· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
1,781
citations
affunlabeled
Bracketing in Qualitative Research
Lea Tufford, Peter A. Newman
2010· article· en· Qualitative Social Work· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
1,553
citations
affunlabeled
Data analysis in qualitative research
Sally Thorne
2000· article· en· Evidence-Based Nursing· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
1,431
citations
affunlabeled
Engaging in Narrative Inquiry
D. Jean Clandinin
2016· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
871
citations
affunlabeled
Critically appraising qualitative research
Ayelet Kuper, Lorelei Lingard, Wendy Levinson
2008· article· en· BMJ· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
780
citations
affgemma · no categorygpt · no categorymodels agree
Bracketing in Research: A Typology
Robin E. Gearing
2004· article· en· Qualitative Health Research· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
538
citations
affunlabeled
Doing Narrative Research
Heather Fraser
2004· article· en· Qualitative Social Work· Social Sciences
machine prediction:candidate · noneconsensus · none
481
citations
venueno affunlabeled
Key Themes in Qualitative Research: Continuities and Change
Susan Walsh, Paul Atkinson, Amanda Coffey, Sara Delamont
2002· article· en· Canadian Journal of Education / Revue canadienne de l éducation· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
299
citations
affunlabeled
Can we Research Suffering?
Arthur W. Frank
2001· article· en· Qualitative Health Research· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
276
citations
afffundunlabeled
Autoethnography
David Butz, Kathryn Besio
2009· article· en· Geography Compass· Social Sciences
machine prediction:candidate · noneconsensus · none
239
citations

How this was built: Screen · Findings · About