Fitted: the impact of academics’ attire on students’ evaluations and intentions
Bibliographic record
Abstract
Dressing formally or informally as an academic may be a trade-off when it comes to managing impressions towards students, but the extant body of literature remains limited with only mixed results. This research is the first focussed investigation to examine the effects of academic dress formality on the ‘big two’ of impression formation, perceptions of warmth and competence. In a series of three controlled laboratory experiments (total N = 1361), we find dress formality to increase perceptions of competence but to decrease perceptions of warmth, which leads to ‘downstream’ effects on students’ evaluations of instructors and behavioural intentions to enrol in a course. Furthermore, we demonstrate that perceptions of competence may be subject to other information cues (success communication and discipline norms) that can mitigate negative effects associated with dress informality. Implications for higher education practitioners are provided.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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 teacher head, 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".