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Record W4408051889 · doi:10.1016/j.jcte.2025.100385

Faculty perspectives on supervising endocrinology residents in the longitudinal clinic setting

2025· article· en· W4408051889 on OpenAlexafffundabout
Isabella Albanese, K. Drummond, Vanessa Tardio, Diana Dolmans

Bibliographic record

VenueJournal of Clinical & Translational Endocrinology · 2025
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMcGill UniversityMcGill University Health Centre
FundersMcGill University
KeywordsMedicineMedical educationFamily medicineInternal medicineLongitudinal studyPathology

Abstract

fetched live from OpenAlex

• Little is known about how and why supervisors adapt their supervision of endocrinology residents in longitudinal clinic. • This study interviews supervisors on their perspectives on supervising endocrinology residents in longitudinal clinic. • Supervisors treat residents as colleagues and make clinic experiences reflect real life when possible. • Residents are given support but also autonomy to execute their own plans even if discordant with that of supervisors. • Overall, supervisors try to encourage residents to self-regulate their learning, but also offer support and autonomy. Longitudinal clinic supervision is complex but key to training residents, such as endocrinology residents. Supervisors report difficulties providing learners with the right balance of supervision and autonomy. Cognitive apprenticeship theory applies to teaching in workplace-based settings, such as the endocrinology longitudinal clinic. While this theory identifies effective strategies for supervising medical students in longitudinal settings, little is known about how and why supervisors adapt their strategies when offering longitudinal supervision to endocrinology residents. To understand supervisors’ perspectives on supervision of endocrinology residents over time in the longitudinal clinic. This is a qualitative study set in the endocrinology division of a Canadian multi-site academic centre in 2023–2024 using semi-structured interviews of endocrinology longitudinal clinic supervisors. Transcripts were analyzed using inductive and deductive thematic analysis, with cognitive apprenticeship theory as a sensitizing concept. Five main themes were identified articulating how participants perceive their supervision and its changes over time. These include supervisors treating residents as colleagues and making clinic experiences reflect real life when possible. Supervisors also tailor clinic experiences to resident needs and career goals. They provide residents with support but also autonomy to execute their own management plans even if discordant with that of supervisors provided that patient safety is maintained. Similarly, supervisors encourage residents to take patient ownership. Together, these strategies enable supervisors to support resident development into independent professional endocrinologists. Overall, supervisors try to encourage residents to self-regulate their learning, but also offer support and autonomy to enhance their longitudinal growth and development.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.105
GPT teacher head0.491
Teacher spread0.386 · 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
Published2025
Admission routes3
Has abstractyes

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