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
Income, Poverty, and Inequality
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.

1,141 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.
1,141 works in the cohort · of 4,299,418page 16 of 23

Labels cover 1 of 1,141 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 1,141 of 1,141 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
Essays on Universal Basic Income
Nana Mukbaniani
2021· article· en· CUNY Academic Works (City University of New York)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Issue Information
2014· paratext· en· Poverty & Public Policy· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
10.53762/2c64ab32
Waqar Muhammad Khan, Ume Kalsoom, Noreen Akhtar
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Rich versus Poor in the Global Economy
William R. Nester
2010· book-chapter· en· Palgrave Macmillan US eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Intertemporal pro-poorness
Florent Bresson, Jean‐Yves Duclos, Flaviana Palmisano
2018· article· en· Social Choice and Welfare· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Low Income
Geranda Notten
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Issue Information
2015· paratext· en· Poverty & Public Policy· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Issue Information
2015· paratext· en· Poverty & Public Policy· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Issue Information
Max J. Skidmore, Dan Stroud, Liz Cook, John Dixon, Virginia Beard, Richard Arndt +27 more
2014· paratext· en· Poverty & Public Policy· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Measuring the Wellbeing of Groups
Gordon Anderson
2019· book-chapter· en· Global perspectives on wealth and distribution· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Underclass
Robert J. Oxoby
2015· other· en· The Wiley Blackwell Encyclopedia of Race, Ethnicity, and Nationalism· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Issue Information
2013· paratext· en· Poverty & Public Policy· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Structural Change and Inequality in Africa
Hanan Morsy, Abebe Shimeles, Tiguéné Nabassaga
2024· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Book Review: Poverty Bonds, by P. W. Burman
Jeffrey Schlemmer
2002· article· en· Journal of Law and Social Policy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Integrated Inferences Applications
Macartan Humphreys, Alan M. Jacobs
2023· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On the Definition of Economic Efficiency
Paul Makdissi
2006· preprint· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Policy analysis styles in Brazil
Christina W. Andrews
2013· other· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The condition of India
Anthony J. Parel
2009· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Equality of Opportunity
Deborah C. Poff
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About