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What We Don't Know We Are Teaching

2006· review· en· W2013561807 on OpenAlexaff
Wade Gofton, Glenn Regehr

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2006
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsThe Wilson CentreUniversity Health Network
Fundersnot available
KeywordsMedicineCurriculumMedical educationHidden curriculumInstitutionFunction (biology)PedagogyPsychology

Abstract

fetched live from OpenAlex

In addition to the intentional teaching of knowledge and skills by surgeons to their trainees and protégés is the unintended, often unrealized transmission of implicit beliefs, attitudes, and behaviors through a process called the hidden curriculum. The hidden curriculum is a function of implicit values held by the institution as a whole, and the individual surgical educators and allied health professionals working in the trainee's learning environment. It has been argued the hidden curriculum plays a central role in the development of professionalism, but it may also play an important role in inadvertently deterring good candidates from considering orthopaedic surgery as a career. We review the importance of attending to the messages we transmit to our trainees, protégés, and junior colleagues as we strive to develop professional competency and recruit the best into the field.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.006
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.005

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 head0.216
GPT teacher head0.558
Teacher spread0.342 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations163
Published2006
Admission routes1
Has abstractyes

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