Negative interpersonal interactions in student training settings
Bibliographic record
Abstract
Studies demonstrate that negative interpersonal interaction(s) (NII) such as bullying are frequent and harmful to individuals in workplace and higher education student settings. Nevertheless, it is unclear whether the degree of perceived severity of NII varies by the status of the actor. The present study explored the moderating effect of actor status (supervisor or peer) on perceived severity (labeled ‘bother’) of experienced and witnessed NII, in workplace training settings, in a sample of students from professional Faculties including Education, Medicine, Nursing, and Social Work (N=68). The researchers hypothesised that NII experienced and witnessed from a supervisor toward a student would be associated with a greater degree of bother than NII experienced or witnessed from a peer toward a peer. Results showed that actor status played a significant role in predicting bother even after the effects of experienced and witnessed NII were taken into account. In following up on this finding, it was revealed that both peer and supervisor status predicted bother for those who had experienced NII whereas only peer status predicted bother for those who had witnessed NII. Finally, opposite to expectation, peer status demonstrated a stronger relationship to experienced NII than did supervisor status. Educators should be mindful of both peer and supervisor behaviours.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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; 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".