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
Consumer Retail Behavior Studies
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.

949 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.
949 works in the cohort · of 4,299,418page 9 of 19

Labels cover 3 of 949 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 949 of 949 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
Is multichannel retail marketing integration a panacea?
Guiomar Martín‐Herrán, Simon Pierre Sigué
2024· article· en· Journal of the Operational Research Society· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
The evolution of retailing in India's small towns
Arpita Khare, Michael C. Mayo
2009· article· en· International Journal of Business and Emerging Markets· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
A STUDY ON BRAND PERCEPTION OF FMCG GOODS
S Jeevananda
2011· article· en· International Journal of Research in Commerce and Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Modeling Shopper Responses to Retail Digital Signage
Charles Dennis, Andrew Newman, Richard Michon, J. Joško Brakus, Len Tiu Wright
2011· book-chapter· en· Advances in marketing, customer relationship management, and e-services book series· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About