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Record W2914514848 · doi:10.15694/mep.2019.000027.1

The Crisis of Health Professions Education in Pakistan

2019· article· en· W2914514848 on OpenAlex
Arslaan Javaeed

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMedEdPublish · 2019
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsHealth professionsPolitical scienceMedicineDevelopment economicsEconomic growthHealth careEconomics

Abstract

fetched live from OpenAlex

This article was migrated. The article was marked as recommended. Health professions are critical in maintaining the health infrastructure of the country. The quality of health care education imparted directly affects the people and it is thus very important to focus our attention towards it. This paper is focused on the current dilemmas being faced in the health professions education and a two-step solution was proposed in view of the deep understanding of the problem. The first step includes a teacher training course to educate and empower the educator about the current advancements in the healthcare professions education. The second step included a thorough evaluation of medical educators to assess their teaching practices and bring forward solutions to improve them. Undoubtedly it can be stated that there is a dire need to implement principles of health professions education in Pakistan and educators have to play their crucial role in understanding the current challenges and taking steps to overcome them.

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)0.001
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 score0.453
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.410
Teacher spread0.393 · 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