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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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.
1,442 works in the cohort · of 4,299,418page 13 of 29
Labels cover 9 of 1,442 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 1,442 of 1,442 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
Jillian Seniuk Cicek, Afua Adobea Mante, Randy Herrmann, Marcia Friesen
2022· article· en· 9th Research in Engineering Education Symposium (REES 2021) and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)· Social Sciences
Jennifer Johrendt, Pawan Kumar Singh, Schantal Hector, Michelle Watters, Geri Salinitri, Karen Benzinger +2 more
2009· article· en· 20th Annual Conference for the Australasian Association for Engineering Education, 6-9 December 2009: Engineering the Curriculum· Social Sciences