Professional Learning and Development of Postdoctoral Scholars: A Systematic Review of the Literature
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
Increasing numbers of postdoctoral scholars are pursuing diverse career paths that require broad skill sets to ensure success. However, most postdoctoral professional learning and development initiatives are designed for academic careers and rarely include professional skills needed to flourish in nonacademic settings. The purpose of this systematic review was to comprehensively examine and synthesize evidence of professional learning and development pertaining to postdoctoral scholars. The systematic search resulted in 7,571 citations, of which 162 full-text papers were reviewed and 28 studies met our inclusion criteria and were included in this review. This paper synthesizes and classifies studies exploring professional learning and development of postdoctoral scholars. The findings may be used to inform the objectives of professional learning and development initiatives for postdoctoral scholars and contribute to a more rigorous approach to studying professional learning and development.
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.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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