Emotion as reflexive practice: A new discourse for feedback practice and research
Bibliographic record
Abstract
INTRODUCTION: Like medicine and health care, feedback is a practice imbued with emotions: saturated with feelings relevant to one's identity and status within a given context. Often this emotional dimension of feedback is cast as an impediment to be ignored or managed. Such a perspective can be detrimental to feedback practices as emotions are fundamentally entwined with learning. In this critical review, we ask: What are the discourses of emotion in the feedback literature and what 'work' do they do? METHODS: We conducted a critical literature review of emotion and feedback in the three top journals of the field: Academic Medicine, Medical Education and Advances in Health Sciences Education. Analysis was informed by a Foucauldian critical discourse approach and involved identifying discourses of emotion and interpreting how they shape feedback practices. FINDINGS: Of 32 papers, four overlapping discourses of emotion were identified. Emotion as physiological casts emotion as internal, biological, ever-present, immutable and often problematic. Emotion as skill positions emotion as internal, mainly cognitive and amenable to regulation. A discourse of emotion as reflexive practice infers a social and interpersonal understanding of emotions, whereas emotion as socio-cultural discourse extends the reflexive practice discourse seeing emotion as circulating within learning environments as a political force. DISCUSSION: Drawing on scholarship within the sociology of emotions, we suggest the merits of studying emotion as inevitable (not pathological), as potentially paralysing and motivating and as situated within (and often reinforcing) a hierarchical social health care landscape. For future feedback research, we suggest shifting towards recognising the discourse-theory-practice connection with emotion in health professional education drawing from reflexive and socio-cultural discourses of emotion.
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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 | 0.007 | 0.293 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".