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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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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.

1,603 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 23 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.

affunlabeled
simtax.cpython-36.pyc
M. Martin Boyer, Philippe D'Astous, Pierre‐Carl Michaud
2020· dataset· en· Harvard Dataverse· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Income Pools for Superstar Markets
Timothy C. Y. Chan, Ningyuan Chen, Craig Fernandes
2023· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
rightv2_pooled_controls.tex
M. Martin Boyer, Philippe D'Astous, Pierre‐Carl Michaud
2020· dataset· en· Harvard Dataverse· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Technological Change and the Finance Wage Premium
Ata Can Bertay, Jose Carreño, Harry Huizinga, Burak Uras, Nathanaël Vellekoop
2022· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Public sector retirement plans
Robert W. Clark
2013· article· en· Econstor (Econstor)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
More on the Value of Financial Advisors
Claude Montmarquette, Alexandre Prud’homme
2020· article· en· RePEc: Research Papers in Economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Credit Card Rates and Consumer Switch: New Evidence
Omar A. Abdelrahman
2016· article· en· International Journal of Economics and Finance· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nuevas tendencias de pensión. El caso Colombia
Álvaro Pío Guerrero, Gustavo Nixon De la Cruz, Herman Sánchez Arteaga, Sonia Sánchez Arteaga
2010· article· en· Libre Empresa· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Financial literacy 101
Ross Guest, Mark Brimble
2018· article· en· Policy: a journal of public policy and ideas· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Freedon at 55 or drudgery till 70?
Nabil Tahani, Chris Robinson
2010· article· Financial Services Review· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
pumf-98M0001-E-2016-individuals_F1.dta
M. Martin Boyer, Philippe D'Astous, Pierre‐Carl Michaud
2020· dataset· de· Harvard Dataverse· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
MTR-checkpoint.ipynb
M. Martin Boyer, Philippe D'Astous, Pierre‐Carl Michaud
2020· dataset· en· Harvard Dataverse· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
pi_lin_controls_slides.tex
M. Martin Boyer, Philippe D'Astous, Pierre‐Carl Michaud
2020· dataset· en· Harvard Dataverse· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Debt and its use among Puerto Rican undergraduate students
Alice Abboud Chalhoub, Cristal Matos Corporán, Marisela Santiago Castro
2015· article· en· Fórum Empresarial· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Inflation: Waiting for the Upturn
Edward S. Knotek, Christian Garciga
2015· article· en· Economic Trends· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
values-3.tab
M. Martin Boyer, Philippe D'Astous, Pierre‐Carl Michaud
2020· dataset· en· Harvard Dataverse· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About