Supervising mentors’ lived experience on supervision in teaching, nursing and social care education. A participation-oriented phenomenological study
Bibliographic record
Abstract
Research concerning the supervisor role in separate educational programmes has been undertaken, but cross-professional studies are few. The aim of this study was to explore the lived experience of supervising mentors in Sweden during the practice-based, off-campus sections of the education in teaching, nursing, and social care. The study used a participatory phenomenological approach in which four researchers and nineteen supervising mentors worked together in the research process which was accomplished in four different phases. The data collecting method used was interview. The results constituted a main essence entitled “Struggle of power and control of professional quality enhancement” built upon four themes: “Constitutes a motivating force”, “Feelings of responsibility”, “Feelings of frustration” and “Wishes for alteration”. Conclusions from the study are that communication, information and contact between the professionals in the fields and university teachers need to be strengthen to keep up supervising mentors’ motivating force and to give them support.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".