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Record W2323943397 · doi:10.5959/eimj.v8i1.411

Student Feedback about the Medical Humanities Module in a Caribbean Medical School

2016· article· en· W2323943397 on OpenAlexaboutno aff
P Ravi Shankar, Christopher Rose

Bibliographic record

VenueEducation in Medicine Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedical humanitiesHumanitiesMedical schoolMedical educationMathematics educationComputer sciencePsychologyMedicineArt

Abstract

fetched live from OpenAlex

A medical humanities (MH) course has been conducted at the institution from February 2013. The school admits students from the United States, Canada and other countries to the undergraduate medical course. The present study was conducted among first to sixth semester basic science students to obtain their feedback about various aspects of the module and suggestions for further improvement. Materials & Methods: Focus group discussions (FGDs) were organised with interested students during the last two weeks of October 2015. Written informed consent was obtained from all participants. The FGDs were audio recorded and lasted between 90 to 100 minutes. An FGD guide was used to facilitate the deliberations. Written transcripts of recordings were prepared and read through multiple times. Transcripts were coded and items with similar codes were grouped together into themes. Results: Twenty-one of the 100 students (21%) participated. Overall response to the module was positive. Students who participated in the FGDs felt the module offered a different perspective compared to other basic science subjects. Feedback regarding small groups and group dynamics were also obtained. The literature excerpts used were appreciated by the respondents. The paintings and the activities encouraged the process of creativity, reflection and taught participants the importance of reconciling varied views. Role-plays encouraged student participation and active learning. MH encouraged active learning and students appeared to have fun while learning. Conclusion: MH and movie screening and activities are slowly becoming established in the institution. Respondent feedback was positive. Suggestions for future modules were obtained.

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)0.005
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0280.000

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 head0.027
GPT teacher head0.378
Teacher spread0.351 · 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 teacher head, not a consensus.

Study designObservational
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

Citations6
Published2016
Admission routes1
Has abstractyes

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