Re/conceptualizing time in higher education <b>Accelerating academia: the changing structure of academic time</b> , by Filip Vostal, New York, Palgrave Macmillan, 2016, 242 pp., $159.99(hardcover), ISBN 978-1-137-47359-2 <b>Slow professor: challenging the culture of speed in the academy</b> , by Maggie Berg and Barbara K. Seeber, Toronto, University of Toronto Press, 2016, 136 pp., $22.95(hardback), ISBN 9781487521851 <b>Time and the rhythms of emancipatory education: rethinking the temporal complexity of self and society</b> , edited by Michel Alhadeff-Jones, London, Routledge, 2017, 226 pp., $136(hardback), ISBN 9781138845848 <b>Universities in the flux of time: An exploration of time and temporality in university life</b> , edited by Paul Gibbs, Oili-Helena Ylijoki, Carolina Guzmán-Valenzuela, & Ronald Barnett, London, Routledge, 2014, 208 pp., $136(hardback), ISBN 9780415732222
Bibliographic record
Abstract
Time remains unexamined and undertheorized when exploring different aspects of higher education. The nature of time in higher education is important to theorize for several reasons. First, interwov...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".