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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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Proceedings of the Association for Information Science and Technology
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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.

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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.

252 results · 1 filter active ·
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20152025
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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.
252 works in the cohort · of 4,299,418page 4 of 6

Labels cover 3 of 252 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 252 of 252 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
An integrated framework of patient data ownership
Aaron Bowen‐Ziecheck, Joan C. Bartlett
2019· article· en· Proceedings of the Association for Information Science and Technology· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Toward an integrated information science
Jenna Hartel, Marcia J. Bates, Tim Gorichanaz, Kiersten F. Latham, Christopher Lueg, Soo Young Rieh +1 more
2020· article· en· Proceedings of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Human dimensions of peer review in information science
Keren Dali, Paul T. Jaeger, Lilith Lee
2017· article· en· Proceedings of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
affunlabeled
Ethnographic Stories in Information Science
Kaitlin Montague, Jenna Hartel, Devon Greyson, Ina Fourie, Pelle Tracey
2024· article· en· Proceedings of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Towards Data‐driven <scp>GIM</scp> tools: Two Prototypes
Jesse David Dinneen, Sascha Donner, Helen Bubinger, Jwen Fai Low, Maja Krtalić
2022· article· en· Proceedings of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
DisasterBox: Designing social media for disaster relief
Krista E. Parham, Jessica Wong, Laura Cang, Yasmin Shash, T. Zachary Frazier, Joanna McGrenere
2015· article· en· Proceedings of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Out of the Past: The Challenges of B.C.E. Dates in Metadata
Annamarie Klose Hrubes, Scott Goldstein, Morris Levy
2021· article· en· Proceedings of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
Ethnographic Variations
2025· article· en· Proceedings of the Association for Information Science and Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Everyday documentation of arts and humanities collections
Ann M. Graf, Crystal Fulton, Amy Jackson, Kathryn La Barre, J. Walsh, Carol L. Tilley +2 more
2018· article· en· Proceedings of the Association for Information Science and Technology· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

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