Professional learning and development of postdoctoral scholars: a scoping review protocol
Bibliographic record
Abstract
BACKGROUND: A growing number of postdoctoral scholars are following diverse career paths that require broad skill sets to ensure success. Yet, most postdoctoral professional learning and development initiatives are intended for academic careers and seldom include professional skills needed to succeed in non-academic settings. Given that fewer than 20% of postdoctoral scholars will obtain tenure-track academic positions, there is a great need for postdoctoral scholars to prepare for a range of future careers. Creating professional learning and development strategies to address these concerns requires an understanding of current approaches, yet there is a distinct lack of literature exploring and synthesizing sources of evidence on the professional learning and development of postdoctoral scholars. The purpose of this scoping review is to examine, synthesize, and map the sources of evidence on professional learning and development pertaining to postdoctoral scholars. METHODS: We will perform a scoping review to identify sources of evidence around professional learning and development of postdoctoral scholars. Our search strategy, limited to English language, will include searching relevant disciplinary and interdisciplinary databases with no limitation on date of publication. We will conduct forward and backward citation chasing of included articles. Gray literature will be searched in electronic databases and websites of national postdoctoral associations. Search strategies will be developed using controlled vocabulary and keyword terms related to postdoctoral scholars and professional development. Two reviewers will independently screen titles and abstracts for inclusion, and two reviewers will independently screen full text to determine final inclusion. These data will be summarized quantitatively (using a simple numerical count) and qualitatively using thematic analysis methods. Through this process, we will summarize the current state of evidence around professional development and learning of postdoctoral scholars and identify current gaps in the literature, as well as the research areas requiring systematic reviews and/or primary research. DISCUSSION: Despite the growing numbers of postdoctoral scholars, there has been no synthesis of the sources of evidence of postdoctoral scholars' professional learning and development. In reviewing a wide range of evidence and integrating it into a manageable and meaningful whole, this scoping review will be a critical first step in understanding the professional learning and development of postdoctoral scholars. Our results will help inform future research and the development of a framework for postdoctoral scholar's professional learning and development.
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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 | 0.012 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".