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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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The MIT Press eBooks
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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
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

188 results · 1 filter active ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
188 works in the cohort · of 4,299,418page 3 of 4

Labels cover 0 of 188 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 188 of 188 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Semantics of Internal and External Worlds
Uwe Seifert, Paul F. M. J. Verschure, Michael A. Arbib, Annabel J. Cohen, Leonardo Fogassi, Thomas Hans Fritz +3 more
2013· book-chapter· en· The MIT Press eBooks· Psychology
distilled prediction:candidate · insufficient_payloadconsensus · none
6
citations
aboutno affunlabeled
Communications Breakdown
2023· book· en· The MIT Press eBooks· Social Sciences
distilled prediction:candidate · stsconsensus · none
5
citations
aboutno affunlabeled
There Are No Facts
Mark Shepard
2022· book· en· The MIT Press eBooks· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
aboutno affunlabeled
Anticorruption
Robert I. Rotberg
2020· book· en· The MIT Press eBooks· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Expanding Mindscapes
2023· book· en· The MIT Press eBooks· Psychology
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
4
citations
fundno affunlabeled
Ecstatic Worlds
Janine Marchessault
2017· book· en· The MIT Press eBooks· Arts and Humanities
distilled prediction:candidate · insufficient_payloadconsensus · none
3
citations
aboutno affunlabeled
Art and Tradition in a Time of Uprisings
Gabriel Levine
2020· book· en· The MIT Press eBooks· Arts and Humanities
distilled prediction:candidate · noneconsensus · none
3
citations
fundno affno abstractunlabeled
Semisupervised Learning for Machine Translation
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
2008· book-chapter· en· The MIT Press eBooks· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Our Selfish Tax Laws
Anthony C. Infanti
2018· book· en· The MIT Press eBooks· Social Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Beyond Red and Blue
Peter S. Wenz
2009· book· en· The MIT Press eBooks· Social Sciences
distilled prediction:candidate · stsconsensus · none
2
citations
aboutno affunlabeled
Accelerating Innovation
Phil Budden, Fiona Murray
2025· book· en· The MIT Press eBooks· Social Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Introduction
Julian Agyeman, Caitlín Matthews, Hannah Sobel
2017· book-chapter· en· The MIT Press eBooks· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Semantic Stipulation and Knowledge De Re
Chris Tillman, Joshua Spencer
2012· book-chapter· en· The MIT Press eBooks· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Dark Star
Matthew H. Hersch
2023· book· en· The MIT Press eBooks· Physics and Astronomy
distilled prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Make Shift
2021· book· en· The MIT Press eBooks· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
aboutno affunlabeled
Just Money
Katrin Käufer, Lillian Steponaitis
2021· book· en· The MIT Press eBooks· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
aboutno affunlabeled
Algorithm Machine
Andreas Broeckmann
2017· book-chapter· en· The MIT Press eBooks· Arts and Humanities
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Index
2021· paratext· en· The MIT Press eBooks
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Infrastructures and Ionograms
2017· book-chapter· en· The MIT Press eBooks· Arts and Humanities
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reading Technologies
2017· book-chapter· en· The MIT Press eBooks· Arts and Humanities
distilled prediction:candidate · scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
Ghosts of Climate Future and Climate Past
2025· book-chapter· en· The MIT Press eBooks· Earth and Planetary Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
Why Carbon Pricing Has Often Failed
Barry G. Rabe
2018· book-chapter· en· The MIT Press eBooks· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
Convolutional Learning
2018· book-chapter· en· The MIT Press eBooks· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About