What are the emotional burdens of precarious educators working in the higher education sector? <i>A scoping review</i>
Bibliographic record
Abstract
The use of precariously employed educators is increasing in the global higher education (HE) sector, with many struggling to gain long-term employment and experiencing emotional burden. Scholars report that unpredictable job security, ambiguous career progression, and inadequate remuneration can detrimentally impact precarious educators. This scoping review aimed to uncover and synthesize the literature related to emotional burdens for precariously employed educators in HE. A systematic search across five databases was conducted, and 38 studies published between 2012 and 2023 were included. Analysis revealed four main categories of emotional burden: (1) exclusion or disconnection, (2) feeling undervalued, (3) stress and (4) anxiety. These were mapped to themes of job satisfaction, personal health and wellbeing, career progression, and the work environment. We conclude that precarious educators bear complex emotional burdens. The implications of these could be critically explored and considered by educators, administrators, researchers, and policymakers to work towards more inclusive and equitable academic environments.
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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 | 0.012 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.010 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".