Scenes, symbols and social roles: raising the curtain on OSCE performances
Bibliographic record
Abstract
INTRODUCTION: Objective structured clinical examinations (OSCEs) are a complex form of assessment, where candidates can interact with 'patients' in a constructed socio-clinical encounter. Conceptualizing OSCEs as a complex socially and culturally situated activity offers important research affordances. There are concerns that OSCEs may encourage more strategic 'tick-box' candidate behaviours and have a potential negative impact on learner identity formation. This study explored, at a micro-level, the social roles and behaviours occurring within the OSCE triad of simulated patients, candidates and examiners. We used a theoretical framework drawn from Goffman's dramaturgy metaphor. METHODS: OSCE candidates, examiners and simulated patients were invited, consented and recruited using maximal variation sampling. Participants were allocated to a summative OSCE circuit that had unobtrusive video cameras. Video footage of 18 stations was transcribed. Analysis was interpretative and iterative until a rich and thick description was achieved. RESULTS: Focusing on elements of Goffman's dramaturgy metaphor, we foregrounded our analysis by considering the performers, costumes, props and the theatre of the OSCE. A combination of symbols, both physical and semiotic, was used to construct and maintain layered roles and identities within this tightly defined socio-clinical setting. Informed by this foregrounding, we then considered the social interactions and behaviours within the OSCE: 'Creating the right impression?', 'A performance of contradictions?' and 'Simulated patients: patients or props?' DISCUSSION: In the pursuit of standardization, OSCEs have potential to mediate less desirable test-taking behaviours that are not entirely patient-centric, and beyond this may have an impact on professional identity. Whilst OSCE checklists provide objectivity, they have potential to promote a presentation of self that is in tension with good medical practice. The certainty of checklists needs to be looked at afresh in order to better reflect the many uncertainties that doctors face in real clinical practice. This research opens up new ways of thinking and enhancing future assessment practices.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".