Experiences of new tenure-track PhD-prepared faculty: a scoping review
Bibliographic record
Abstract
The purpose of this scoping review was to assess the state of the literature concerning the experiences of new PhD-prepared tenure-track faculty, with a keen interest in nursing faculty. Effective recruitment and retention strategies for new nursing academic faculty need to be found and implemented. A literature review based on Arksey and O'Malley's five-stage framework for scoping reviews was undertaken. Using the PRISMA protocol, a systematic literature search was conducted in seven databases of studies published in English. Based upon inclusion criteria and relevance, 13 studies out of 90 papers were included in this study. Themes identified from the studies were transitioning to academia, developing a research program, balancing work and life, and perceived inequity. The research was predominately American and Canadian based. Several gaps in the literature were identified. Further research is critical to make recommendations to key stakeholders for recruitment and retention strategies.
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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 | 0.032 | 0.095 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.023 | 0.021 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".