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Record W1675794382 · doi:10.36834/cmej.36574

Challenges of Teaching Physiology Following the Transition From Traditional Curriculum To An Integrated System-Based Curriculum

2012· article· en· W1675794382 on OpenAlex
Zuheir Hasan, Reginald P. Sequeira

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Medical Education Journal · 2012
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumCurriculum theoryCurriculum mappingCore curriculumEmergent curriculumPerspective (graphical)Curriculum developmentEngineering ethicsComputer scienceMedical educationMedicinePedagogyPsychologyEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The transformation of a traditional discipline-based medical curriculum into a system-based integrated curriculum often poses dilemmas to faculty involved in teaching basic medical sciences. This paper examines the challenges of teaching physiology to medical students in a system-based curriculum. Some of these challenges include: defining the core curriculum, curriculum links, sequencing curriculum content, interdisciplinary integration, and student assessment. A number of relevant issues including defining the core physiology content, faculty expertise, and coping and adapting to curriculum transitions are discussed from a personal perspective. For successful implementation of a system-based curriculum and to overcome the challenges, educational issues should be debated in regional and international forums.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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