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Record W4393161017 · doi:10.1002/aet2.10976

“They were very very nice but just not very good”: The interplay between resident–supervisor relationships and assessment in the emergency setting

2024· article· en· W4393161017 on OpenAlexaff
Suzanne Laurin, Véronique Castonguay, Valérie Dory, Lise Cusson, Luc Côté

Bibliographic record

VenueAEM Education and Training · 2024
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversité LavalUniversité de Montréal
Fundersnot available
KeywordsSupervisorThematic analysisStrengths and weaknessesPsychologyInterpersonal communicationMedical educationQualitative researchNursingMedicineApplied psychologySocial psychologyManagementSociology

Abstract

fetched live from OpenAlex

Purpose: Clinical supervisors hesitate to report learner weaknesses, a widely documented phenomenon referred to as "failure to fail." They also struggle to discuss weaknesses with learners themselves. Their reluctance to report and discuss learner weaknesses threatens the validity of assessment-of-learning decisions and the effectiveness of assessment for learning. Personal and interpersonal factors have been found to act as barriers to reporting learners' difficulties, but the precise role of the resident-supervisor relationship remains underexplored, specifically in the emergency setting. This study aims to better understand if and how factors related to the resident-supervisor relationship are involved in assessment of and for learning in the emergency setting. Methods: We conducted a qualitative study, using semistructured interviews of 15 clinical supervisors in emergency medicine departments affiliated with our institution. Transcripts were independently coded by three members of the team using an iterative mixed deductive-inductive thematic analysis approach. The team then synthesized the coding and discussed analysis following guidelines for thematic analysis. Results: Participating emergency medicine supervisors valued resident-supervisor relationships built on collaboration and trust and believed that such relationships support learning. They described how these relationships influenced assessment of and for learning and how in turn assessment influenced the relationship. Almost all profiles of resident-supervisor relationships in our study could hinder the disclosing of resident weaknesses, through a variety of mechanisms. To protect residents and themselves from the discomfort of disclosing weaknesses and to avoid deteriorating the resident-supervisor relationship, many downplayed or even masked residents' difficulties. Supervisors who described themselves as able to provide negative assessment of and for learning often adopted a more distant or professional stance. Conclusions: This study contributes to a growing literature on failure to fail by confirming the critical impact that the resident-supervisor relationship has on the willingness and ability of emergency medicine supervisors to play their part as assessors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.078
GPT teacher head0.407
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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