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Record W2748269538 · doi:10.20529/ijme.2017.077

On the integration of Ethics into the Physiology curriculum

2017· article· en· W2748269538 on OpenAlexaff
D Savitha, Manjulika Vaz, Olinda Timms, G D Ravindran, Mário Vaz

Bibliographic record

VenueIndian Journal of Medical Ethics · 2017
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsSt. John’s Health Sciences Centre
Fundersnot available
KeywordsCurriculumMedical educationInstitutionResource (disambiguation)Medical ethicsHost (biology)Engineering ethicsPolitical sciencePsychologyMedicinePedagogyComputer scienceLawBiology

Abstract

fetched live from OpenAlex

A one-day state-level workshop was organised in Karnataka to share the experience of a programme implemented earlier, in 2015-16, at St John's Medical College, Bengaluru that integrated the teaching of ethics into the physiology curriculum. The aim was to develop the programme further, list the challenges likely to be faced while scaling it up, and identify other colleges which could participate in the scaling up. Twenty-eight participants, representing 13 medical colleges, and five resource persons attended the workshop. There was a consensus that the integration of ethics into the physiology course was relevant and desirable, although the participants identified several critical challenges which might arise. These included the lack of institutional support, a possible lack of student "buy-in" since it was beyond the requirements of the examinations, and time constraints. Specific areas of integration were identified. Three medical colleges, including the host institution, opted to implement the programme and refine it further.

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 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)0.116
metaresearch head score (Gemma)0.716
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1160.716
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.004
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0030.085
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 head0.200
GPT teacher head0.565
Teacher spread0.365 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations4
Published2017
Admission routes1
Has abstractyes

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