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Record W2019722264 · doi:10.1080/10401334.2011.611777

Changing Concepts of Neuroanatomy Teaching in Medical Education

2011· article· en· W2019722264 on OpenAlex

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.

Bibliographic record

VenueTeaching and Learning in Medicine · 2011
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNeuroanatomyCurriculumHumanismPsychologyMedical educationField (mathematics)Engineering ethicsPedagogyMedicineNeurosciencePolitical scienceEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Anatomy teaching is often described as foundational in the education of physicians, but in recent years there has been increasing pressure on teachers of neuroanatomy to justify its place in the curriculum. SUMMARY: This article examines theoretical assumptions that have traditionally influenced the neuroanatomy curriculum and explains how evolution of thought in the field of medical education has led to a shift in how the pedagogy of neuroanatomy is conceptualized. CONCLUSIONS: The widespread adoption of competency-based education, the emphasis on outcome-based objectives, patient- and learner-centered approaches, and a renewed interest in humanistic aspects of medical education have all contributed to a changing educational milieu. These changes have led to a number of curricular innovations. However, questions remain as to what should be taught to medical learners, and how best to teach it.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.011
GPT teacher head0.288
Teacher spread0.277 · 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