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Record W2042798259 · doi:10.1080/13576280600783679

Development of the community-oriented medical education curriculum of Pakistan: A case report on the national initiative on curriculum development

2006· article· en· W2042798259 on OpenAlexaff
Lubna Baig, Durre-Samin Akram, Syeda Kauser Ali

Bibliographic record

VenueEducation for Health · 2006
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCurriculumCurriculum developmentCurriculum mappingMedical educationPolitical scienceMedicineEngineering ethicsSociologyPedagogyEngineering

Abstract

fetched live from OpenAlex

The medical curriculum in Pakistan includes the following courses: anatomy,physiology, and biochemistry. These courses are offered in the first two yearsusing lectures, tutorials and laboratory work. In the last three years, pathology,pharmacology, forensics and community medicine courses are taught by usingclerkships in medicine, surgery, pediatrics, gynecology, obstetrics, and associ-ated health-related disciplines.The general objective of the undergraduate medical curriculum as specifiedby the Pakistan Medical and Dental Council (PMDC) is to provide com-passionate,generalpractice,community-orienteddoctorswhoarecommittedtomanage common health problems of the people in a scientifically sound andcost-effective manner while using appropriate technology and a holisticapproach. It also states that the doctor should be able to assume leadership ina health care team, function and communicate effectively as a manager inaccordance with the code of medical ethics prescribed by the PMDC.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.420
Teacher spread0.381 · 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 designCase report
Domainnot available
GenreEmpirical

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

Citations24
Published2006
Admission routes1
Has abstractyes

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