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
Sharing Economy and Platforms
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.

477 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.
477 works in the cohort · of 4,299,418page 3 of 10

Labels cover 2 of 477 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 477 of 477 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.

afffundunlabeled
Prosumer: A new approach to conceptualisation
Myriam Ertz, José María Barragán Maravilla, Xinyuan Cao
2025· article· en· Journal of Innovation & Knowledge· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
18
citations
fundno affunlabeled
Identity Collision: Older Gay Men Using Technology
Avi Marciano, Galit Nimrod
2020· article· en· Journal of Computer-Mediated Communication· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Accept no substitutes
Russell W. Belk
2016· article· en· Marketing Theory· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Pricing in C2C Sharing Platforms
Steffen Zimmermann, Peter Angerer, Daniel Provin, Barrie R. Nault
2018· article· en· Journal of the Association for Information Systems· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
The Prosumer
Myriam Ertz, Xinyuan Cao, José María Barragán Maravilla
2024· article· en· Encyclopedia· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
The ubiquity of scarcity
Russell W. Belk, Gopal Das, Shailendra Pratap Jain
2023· article· en· Journal of the Academy of Marketing Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Sharing Economy: For an Economic Taxonomy
Bruna Bruno, Marisa Faggini
2017· article· en· International Journal of Economics and Finance· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
10
citations
venueno affno abstractunlabeled
Ethics of Sharing
Felix Stalder, Wolfgang Sützl
2011· article· en· The International Review of Information Ethics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About