The Professional Identity of Adjunct Faculty: Exploratory Study at a Private University in the UAE
Bibliographic record
Abstract
Professional identity has recently made its way as a concept that has become a central theme in teachers’ professionalism. However, adjunct faculty professional identity and development have not been given enough interest in literature despite their increasing contribution in higher education. The purpose of this study was to assess adjuncts’ perceptions of their identity. It also aimed to examine what institutional professional development they receive and the effect of its presence or absence on their professional identity. Four semi-structured interviews were conducted with four adjunct faculty in the Department of Writing Studies at a university in the UAE. Results showed that adjunct faculty have dilemma making sense of their professional selves due to being perceived differently by their students, colleagues, administrators and themselves. Results also showed that adjuncts are vulnerable, insecure, and embarrassed to declare their identity to their students. In addition, findings revealed that they do not get institutional professional development opportunities that they need and that ignoring their professional development threatens the quality of teaching and the reputation of the institution they work in.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".