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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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Big Data Technologies and Applications
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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.

167 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.
167 works in the cohort · of 4,299,418page 1 of 4

Labels cover 4 of 167 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 167 of 167 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
Critical data studies: An introduction
Andrew Iliadis, Federica Russo
2016· article· en· Big Data & Society· Decision Sciences
machine prediction:candidate · stsconsensus · none
432
citations
affunlabeled
Becoming Digital
Vincent Mosco
2017· book· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
168
citations
fundno affunlabeled
Data Enclaves
Kean Birch
2023· book· es· Decision Sciences
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Specifying Big Data Benchmarks
Tilmann Rabl, Hans‐Arno Jacobsen, Chaitanya Baru, Meikel Poess
2013· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
23
citations
fundno affunlabeled
Global Digital Data Governance
Carolina Aguerre, Malcolm Campbell‐Verduyn, Jan Aart Scholte
2024· book· en· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
20
citations
affno abstractunlabeled
Advances in Computing and Data Sciences
William I. Grosky, Arun Sharma, Vipin Tyagi, Priya Gupta, Mayank Singh
2017· book· en· Communications in computer and information science· Decision Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Perspectives on Big Data Analysis
2014· book· en· Contemporary mathematics - American Mathematical Society· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Big data curation
Renée J. Miller
2014· article· en· International Conference on Management of Data· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
venueaboutno affunlabeled
Big data Analysis: The n ext f rontier
Nii Ayi Armah
2013· article· en· Bank of Canada review· Decision Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Big Data
John C. Dill
2019· book-chapter· en· Advanced information and knowledge processing· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
The Post-petroleum Future of Academic Libraries
Thomas Hecker
2007· article· en· Journal of Scholarly Publishing· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
6
citations
affno abstractunlabeled
Understanding Big Data: Data Calculus in the Digital Era
Long Chen, Patrick Bolton, Bengt Holmström, Eric Maskin, Christopher A. Pissarides, A. Michael Spence +10 more
2021· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Insurance dataset
Christophe Dutang, Arthur Charpentier
2024· other· en· HAL (Le Centre pour la Communication Scientifique Directe)· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Which Way to (INDI)GO?
Cristian Udovicich, Hany Soliman
2025· editorial· en· International Journal of Radiation Oncology*Biology*Physics· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Advances in Data Science
İlke Demir, Yifei Lou, Xu Wang, Kathrin Welker
2021· book· en· Association for Women in Mathematics series· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Applications of Data Management and Analysis
Mohammad Moshirpour, Behrouz H. Far, Reda Alhajj
2018· book· en· Lecture notes in social networks· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Big-Data Mechanisms and Energy-Policy Design
Ankit Pat, Kate Larson, Srinivasan Keshav
2016· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About