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 Behavior in Brand Consumption and Identification
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.

1,449 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.
1,449 works in the cohort · of 4,299,418page 8 of 29

Labels cover 1 of 1,449 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 1,449 of 1,449 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Product-Country Images in the Context of NAFTA
Sadrudin A. Ahmed, Alain d’Astous
2004· article· en· Journal of Global Marketing· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Befriending Mr. Clean
Pankaj Aggarwal
2015· book-chapter· en· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
34
citations
affno abstractunlabeled
Marketing insights from text analysis
Jonah Berger, Grant Packard, Reihane Boghrati, Ming Hsu, Ashlee Humphreys, Andrea Webb Luangrath +4 more
2022· article· en· Marketing Letters· Business, Management and Accounting
distilled prediction:candidate · insufficient_payloadconsensus · none
34
citations
affunlabeled
Wisdom from words: The psychology of consumer language
Jonah Berger, Grant Packard
2022· article· en· Consumer Psychology Review· Business, Management and Accounting
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
33
citations
affunlabeled
A Proposal of the Buying Model for Fresh Food Products
Laurentino Bello Acebrón, Jean-Pierre Lévy Mangin, Domingo Calvo Dopico
2001· article· en· Journal of International Food & Agribusiness Marketing· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
Consumer Resistance: From Anti-Consumption to Revenge
Marcelo Vinhal Nepomuceno, Mina Rohani, Yany Grégoire
2017· book-chapter· en· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
30
citations
affunlabeled
Countries’ positioning on personality traits
José I. Rojas‐Méndez, Michael J. Hine
2016· article· en· Journal Of Vacation Marketing· Business, Management and Accounting
distilled prediction:candidate · insufficient_payloadconsensus · none
30
citations

How this was built: Screen · Findings · About