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Record W3102288421 · doi:10.1097/acm.0000000000003842

Learner Handover: Who Is It Really For?

2020· article· en· W3102288421 on OpenAlex
Susan Humphrey‐Murto, Lorelei Lingard, Lara Varpio, Christopher Watling, Shiphra Ginsburg, Scott Rauscher, Kori A. LaDonna

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAcademic Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsMedical Council of CanadaWestern UniversityThe Wilson CentreUniversity of Ottawa
Fundersnot available
KeywordsHandoverCompetence (human resources)PsychologyPerceptionGossipMedical educationComputer sciencePedagogySocial psychologyMedicine

Abstract

fetched live from OpenAlex

PURPOSE: Learner handover is the sharing of information about learners between faculty supervisors. Learner handover can support longitudinal assessment in rotation-based systems, but there are concerns that the practice could bias future assessments or stigmatize struggling learners. Because successful implementation relies on an understanding of existing practices and beliefs, the purpose of this study was to explore how faculty perceive and enact learner handover in the workplace. METHOD: Using constructivist grounded theory, 23 semistructured interviews were conducted with faculty from 2 Canadian universities between August and December 2018. Participants were asked to describe their learner handover practices, including learner handover delivered or received about resident and student trainees either within or between clinical rotations. The authors probed to understand why faculty used learner handover and their perceptions of its benefits and risks. RESULTS: Learner handover occurs both formally and informally and serves multiple purposes for learners and faculty. While participants reported that learner handover was motivated by both learner benefit and patient safety, they primarily described motivations focused on their own needs. Learner handover was used to improve faculty efficiency by focusing teaching and feedback and was perceived as a "self-defense mechanism" when faculty were uncertain about a learner's competence and trustworthiness. Informal learner handover also served social or therapeutic purposes when faculty used these conversations to gossip, vent, or manage insecurities about their assessment of learner performance. Because of its multiple, sometimes unsanctioned purposes, participants recommended being reflective about motivations behind learner handover conversations. CONCLUSIONS: Learners are not the only potential beneficiaries of learner handover; faculty use learner handover to lessen insecurities surrounding entrustment and assessment of learners and to openly share their frustrations. The latter created tensions for faculty needing to share stresses but wanting to act professionally. Formal education policies regarding learner handover should consider faculty perspectives.

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.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.631
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.071
GPT teacher head0.364
Teacher spread0.293 · 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