Finding a tenure‐track position in academia in North America: Development of an employability model for new assistant professors
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
Abstract Searching for an academic position is known to be a stressful and often ambiguous process for applicants. During this transition from doctoral students to assistant professors, applicants seek any additional means to increase their chances of securing an academic appointment. This research draws on data gathered from a sample of recently hired business school professors for tenure‐track positions in Canada and the United States to develop an inductive model of academic employability. The academic employability model derived from our data consists of four dimensions, three of which have been included in existing employability models (Career Identity, Personal Adaptability, and Social and Human Capital) as well as a fourth unique dimension to this model (Academic Professionalism). In addition to providing an analysis of this distinct and context‐rich job market environment, we offer practical advice for aspiring job candidates, doctoral programmes and academic supervisors seeking to improve academic employability of doctoral graduates.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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