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Record W2491466461 · doi:10.2147/amep.s90737

Professionalism perspectives among medical students of a novel medical graduate school in Malaysia

2016· article· en· W2491466461 on OpenAlexaff
Mainul Haque, Zainal Zulkifi, Seraj Zohurul Haque, Zubair Mahmood Kamal, Abdus Salam, Vidya Bhagat, Ahmed Ghazi Alattraqchi, Nor Iza A. Rahman

Bibliographic record

VenueAdvances in Medical Education and Practice · 2016
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsToronto Western HospitalUniversity Health Network
FundersUniversiti Sultan Zainal Abidin
KeywordsHonestyMedical educationCompassionPsychologyAutonomyOpenness to experienceCompetence (human resources)Medical ethicsAltruism (biology)DignityTeamworkCurriculumMedicineSocial psychologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

Defining professionalism in this constantly evolving world is not easy. How do you measure degrees of benevolence and compassion? If it is so obvious to our profession, what professionalism is, then why is it so difficult to teach it to medical students and residents? Today's definition of medical professionalism is evolving - from autonomy to accountability, from expert opinion to evidence-based medicine, and from self-interest to teamwork and shared responsibility. However, medical professionalism is defined as the basis for the trust in the patient-physician relationship, caring and compassion, insight, openness, respect for patient dignity, confidentiality, autonomy, presence, altruism, and those qualities that lead to trust-competence, integrity, honesty, morality, and ethical conduct. The purpose of this study is to explore professionalism in terms of its fundamental elements among medical students of Universiti Sultan Zainal Abidin (UniSZA). This was a cross-sectional study carried out on medical students of UniSZA. The study population included preclinical and clinical medical students of UniSZA from Year I to Year V of academic session 2014/2015. The simple random sampling technique was used to select the sample. Data were collected using a validated instrument. The data were then compiled and analyzed using SPSS Version 21. Out of 165 questionnaires distributed randomly among Year I to Year V medical students of UniSZA, 144 returned, giving a response rate of 87%. Among the study participants, 38% (54) and 62% (90) were males and females, respectively. The grand total score was 170.92±19.08. A total of 166.98±20.15 and 173.49±18.09 were the total professionalism score of male and female study participants, respectively, with no statistically significant (P=0.61) differences. This study found almost similar levels of familiarity with all fundamental issues of professionalism with no statistically (P>0.05) significant differences. Medical faculty members should give more effort for the professional development of medical doctor. Henceforth, researchers believe and expect that the country will produce more rational and holistic medical doctors.

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)0.006
metaresearch head score (Gemma)0.196
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 score0.674
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.196
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.481
Teacher spread0.451 · 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

Citations34
Published2016
Admission routes1
Has abstractyes

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