Towards accountability-centred practices: governance in OSCEs subordinating patient and practitioner clinical experience
Bibliographic record
Abstract
New public management ideals and standards have become increasingly adhered to in health professions education; this is particularly apparent in high-stakes assessment, as a gateway to practice. Using an Institutional Ethnographic approach, we looked at the work involved in running high-stakes Objective Structured Clinical Exams (OSCEs) throughout an academic year including use of observations, interviews and textual analysis. In our results, we describe three types of 'work'-standardising work, defensibility work and accountability work-summarising these in the discussion as an Accountability Circuit, which shows the organising role of texts on people's work processes. We show how this form of governance mandates a shift towards accountability-centred practices, away from practices which are person-centred; this lens on accountability-centring during high-stakes assessments invites critique of the often-unquestioned emphasis of new public management in health professions education.
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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 | 0.126 | 0.197 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.049 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.002 | 0.022 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".