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Record W2030269079 · doi:10.1152/advan.00032.2005

Problem-based learning and the medical school: another case of the emperor’s new clothes?

2005· article· en· W2030269079 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

VenueAJP Advances in Physiology Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMemorizationCornerstoneProblem-based learningEmperorSet (abstract data type)Mathematics educationCurriculumClothingMedical schoolPsychologyPedagogyMedical educationMedicineComputer scienceVisual artsPolitical scienceLawArt

Abstract

fetched live from OpenAlex

For almost four decades, problem-based learning (PBL) has been the stated cornerstone of learning in many medical schools. Proponents of PBL cite the open nature of the learning experience where students are free to study in depth, unencumbered by the burdens of broad courses based on the memorization of facts; detractors, on the other hand, cite the lack of breadth and factual knowledge required for professional qualification. Both points of view have merit. Professional schools have a different set of needs and requirements, and it is these that drive the curriculum and learning philosophies. The constraints of the professional school are so different from those of the purely academic environment that PBL, while admirably suited to the latter, is just problem solving in the former.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.927
Threshold uncertainty score0.394

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.336
Teacher spread0.328 · 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