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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.

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Financial Literacy, Pension, Retirement Analysis
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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.

1,603 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,603 works in the cohort · of 4,299,418page 28 of 33

Labels cover 6 of 1,603 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 1,603 of 1,603 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.

venueno affunlabeled
Risk of Disability, Old-age and Death: Pension Sustainability in Colombia
Sergio Clavijo, Alejandro Vera, David Malagón, Laura Clavijo, Andrea Barbosa Rios, Ekaterina Cuéllar +1 more
2017· article· en· Journal of Management and Sustainability· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Contiguity and Dynamic Programming
2007· article· en· The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Three Essays on the Korean Labor Market
2023· dissertation· en· CU Scholar (University of Colorado Boulder)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction
2005· article· fr· OpenEdition (OpenEdition)· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Three essays on lifecycle analysis
2010· dissertation· en· The Atrium (University of Guelph)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Analysis of the pension systems of selected countries
Jakub Málek
2013· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Essays in the economics of aging
Jia-Zhueng Fan
2006· dissertation· TSpace· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/COA5EbUy2m
2000· article· en· Time to knit· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Life Satisfaction and Stock Market Participation
Xiaohui Yang, Enxi An, Bing Chen
2021· article· en· Journal of Applied Business and Economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Passively Active Investing – A Five Year Test
Jeffry Haber
2020· article· en· Journal of Applied Business and Economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About