Precarious Academics: Information Practices and Challenges
Bibliographic record
Abstract
This paper reports the results of a small-scale study of the information practices of contract academic staff in the United Kingdom, which is being used as the basis for a broader study in the Canadian context. Neoliberal approaches to the management of higher education across the globe, including Canada, are contributing to a highly challenging environment for contract academic staff, who face marginalization, insecurity, and significant stress. The study seeks togive voice to this growing complement of contract academic staff, to identify practical responses to these challenges. Cet article présente les résultats d'une étude à petite échelle des pratiques d'information du personnel universitaire contractuel au Royaume-Uni, qui sert de base à une étude plus large dans le contexte canadien. Les approches néolibérales de la gestion de l'enseignement supérieur à travers le monde, y compris au Canada, contribuent à créer un environnement très difficile pour le personnel académique contractuel, confronté à la marginalisation, à l'insécurité et à un stress important. L'étude cherche à donner la parole à ce complément croissant de personnel académique contractuel, afin d'identifier des réponses pratiques à ces défis.
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.
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 | 0.001 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.024 |
| Open science | 0.001 | 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 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".