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Record W2214471015 · doi:10.7196/ajhpe.396

Ethical dilemmas experienced by occupational therapy students – the reality

2015· article· en· W2214471015 on OpenAlexaboutno aff
Nico Nortjé, Jo-Celene De Jongh

Bibliographic record

VenueAfrican Journal of Health Professions Education · 2015
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsConfidentialityClass (philosophy)Variety (cybernetics)PsychologyOccupational therapyMedical educationQualitative researchFace (sociological concept)Health professionalsSalientProfessional ethicsPedagogyHealth careEngineering ethicsMedicineSociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Background. Ethics training strives to facilitate critical thinking, objective analysis and clinical reasoning skills to equip students with the ability to make an impartial and unbiased decision in different contexts and diverse client populations. This enhances students’ learning experiences. Occupational therapy (OT) students are expected to work in a variety of contexts. They experience many sources of conflict in their fieldwork practice on a daily basis, while at the same time upholding professional values, responsibilities and duties. Objectives. To determine the issues that students face in their fieldwork practice and address these in an ethical manner. Methods. Qualitative research was done among fourth-year OT students by means of an open-ended questionnaire. Results. Three major themes relevant to ethical issues were identified: professional-student relationship; professional boundaries; and disclosure of information and keeping information confidential. Conclusion . The salient themes identified reflect the primary ethical tensions in the international literature from the UK and Canada, but little evidence has been reported from South Africa. Taking cognizance of this, those who are involved in the training of healthcare professionals should incorporate the identified issues in the class discussions. For many students their fieldwork practice may be their first experience with some of the aforementioned issues. Alluding to these in a safe environment (class situation) and equipping the students with a framework of analysis are very important.

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)0.042
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0420.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.009
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 head0.354
GPT teacher head0.635
Teacher spread0.282 · 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 designNot applicable
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

Citations5
Published2015
Admission routes1
Has abstractyes

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