The Academic Sabbatical: A Voyage of Discovery
Bibliographic record
Abstract
The Academic Sabbatical: A Voyage of Discovery is a collection of narratives that reveals how important sabbaticals are to faculty and, by extension, to higher education. This in-depth look at the diverse experiences and perspectives provides a wealth of evidence that sabbaticals are instrumental in increasing productivity in terms of research and knowledge dissemination. These periods of self-directed and focused work enable scholars to restore their academic energies, leading to enhanced engagement with their programs, graduate students, and intellectual exchange among peers. Although not without challenges and tensions, sabbaticals help academics build stronger and deeper connections. While this book stands alone in promoting the richness and potential of the sabbatical as a structural feature of the academy, it is a great follow-up to The Academic Gateway and Beyond the Academic Gateway, which respectively discuss the tenure-track and tenure experience. This book is the third in the Lives in the Canadian Academic Landscape triptych.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.021 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".