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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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Interdisciplinary Research and Collaboration
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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
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venuejournal
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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.

730 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.
730 works in the cohort · of 4,299,418page 1 of 15

Labels cover 10 of 730 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 730 of 730 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
Epistemological Pluralism: Reorganizing Interdisciplinary Research
Thaddeus R. Miller, Timothy D. Baird, Caitlin M. Littlefield, Gary P. Kofinas, F. Stuart Chapin, Charles L. Redman
2008· article· en· Ecology and Society· Decision Sciences
machine prediction:candidate · metaresearch+stsconsensus · none
531
citations
affno abstractunlabeled
Systems Thinking to Improve the Public's Health
Scott J. Leischow, Allan Best, William M. K. Trochim, Pamela I. Clark, Richard S. Gallagher, Stephen E. Marcus +1 more
2008· article· en· American Journal of Preventive Medicine· Decision Sciences
machine prediction:candidate · noneconsensus · none
411
citations
affunlabeled
Transdisciplinarity in STEM education: a critical review
Miwa Aoki Takeuchi, Pratim Sengupta, Marie‐Claire Shanahan, Jennifer D. Adams, Maryam Hachem
2020· review· en· Studies in Science Education· Decision Sciences
machine prediction:candidate · noneconsensus · none
235
citations
afffundno abstractunlabeled
Are top-cited papers more interdisciplinary?
Shiji Chen, Clément Arsenault, Vincent Larivière
2015· article· en· Journal of Informetrics· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
144
citations
affunlabeled
Our share of the planetary pie
Jonathan A. Foley, Chad Monfreda, Navin Ramankutty, David P. M. Zaks
2007· letter· en· Proceedings of the National Academy of Sciences· Decision Sciences
machine prediction:candidate · noneconsensus · none
131
citations
venueno affno abstractunlabeled
Real Science: What It Is, and What It Means
Augustine Brannigan, John Ziman
2002· article· en· The Canadian Journal of Sociology· Decision Sciences
machine prediction:candidate · stsconsensus · none
126
citations
affaboutunlabeled
Equity in Author Order: A Feminist Laboratory’s Approach
Max Liboiron, Justine Ammendolia, Katharine Dunbar Winsor, Alex Zahara, Hillary Bradshaw, Jessica Melvin +10 more
2017· article· en· Catalyst Feminism Theory Technoscience· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
103
citations
affunlabeled
Preparing the Next Generation of Scientists
Robert A. Campbell
2003· article· en· Social Studies of Science· Decision Sciences
machine prediction:candidate · metaresearch+stsconsensus · none
98
citations
affunlabeled
Adventures in transdisciplinary learning
Sarah Wall, Irene Shankar
2008· article· en· Studies in Higher Education· Decision Sciences
machine prediction:candidate · noneconsensus · none
72
citations
venueno affunlabeled
The Complexity of Transdisciplinary Literature Reviews
Alfonso Montuori
2013· article· en· Complicity An International Journal of Complexity and Education· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
71
citations
fundno affunlabeled
Society Is Ready for a New Kind of Science—Is Academia?
Bonnie Keeler, Rebecca Chaplin‐Kramer, Anne D Guerry, Prue Addison, Charles Bettigole, Ingrid C. Burke +16 more
2017· article· en· BioScience· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
67
citations
affno abstractunlabeled
1002222.pdf
Rita Borromeo Ferri, Michael Omuvwie, Susie Groves, Brian Doig, David Swanson, Wolff‐Michael Roth +2 more
2016· book· de· Research Explorer (The University of Manchester)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
61
citations
fundno affunlabeled
Evaluating Academic Scientists Collaborating in Team-Based Research
Madhu Mazumdar, Shari Messinger, Dianne M. Finkelstein, Judith D. Goldberg, Christopher J. Lindsell, Sally C. Morton +3 more
2015· article· en· Academic Medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
58
citations
affunlabeled
Team principles for successful interdisciplinary research teams
Sherry‐Ann Brown, Rodney Sparapani, Kristen Osinski, Jun Zhang, Jeffrey Blessing, Feixiong Cheng +14 more
2023· article· en· American Heart Journal Plus Cardiology Research and Practice· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
47
citations
fundno affunlabeled
Interdisciplinary Learning
Verónica Boix Mansilla
2017· book-chapter· en· Oxford University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
A Difficult Journey: Transitioning from STEM to SoTL
Niamh Kelly, Susan Nesbit, Carolyn Oliver
2012· article· en· International Journal for the Scholarship of Teaching and Learning· Decision Sciences
machine prediction:candidate · noneconsensus · none
43
citations

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