<p>Advice for Junior Faculty Regarding Academic Promotion: What Not to Worry About, and What to Worry About</p>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Junior faculty in many universities must go through the promotion process to advance from entry level, e.g., assistant professorship to associate Professor, and ultimately to professorship. The process may often be stressful for some junior faculty, mostly due to some uncertainty about how to optimise their chances of successful promotion. In this paper, we summarise some strategies that would enhance their chances of a smooth promotion based on experiences from junior faculty and senior faculty who have served on tenure and promotion committees. These strategies include understanding the promotion process at your institution; optimizing publications as first or senior author, securing research funding as principal investigator, teaching effectively, providing service efficiently; developing good time management and priority setting skills, finding excellent mentors, and targeting opportunities for collaboration. We also encourage junior faculty to be pro-active about promotion.
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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 | 0.002 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 it