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Record W2929299585 · doi:10.29252/hehp.7.2.95

Exploring the Components of Professional Ethics in Teaching, from the Perspective of Faculty Members in Iran

2019· article· en· W2929299585 on OpenAlexaboutno aff
Arezoo Fallahi, Babak Nemat Shahrbabaki, Roonak Shahoei, Farzad Aala, Sharare Ahmadi

Bibliographic record

VenueHealth Education and Health Promotion · 2019
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
FundersVice Chancellor for Research and Technology, Kerman University of Medical SciencesKurdistan University Of Medical Sciences
KeywordsPerspective (graphical)Promotion (chess)Professional ethicsEngineering ethicsMedical educationUniversity facultyFaculty developmentSociologyProfessional developmentPedagogyMedicinePolitical scienceEngineeringLawArt

Abstract

fetched live from OpenAlex

1] The study on professional ethics components among faculty members in the engineering [2] The attitude of faculty members towards professional ethics at Hamadan University School of Dentistry [3] The opinions of preschool teachers about ethical principles [4] Perspective of students about professional ethics compliance of clinical instructors in Jahrom University of Medical Sciences [5] Code of ethics: principles for ethical leadership [6] Teaching Professional Behaviors: Differences in the Perceptions of Faculty, Students, and Employers [7] Academics' adherence to professional ethics in Shahid Sadoughi University of Medical Science: Students' viewpoint [8] Faculty-related challenges in medical ethics education: A qualitative study [9] How do medical students learn professionalism during clinical education? a qualitative study of faculty members' and interns' experiences [10] The underlying factors affecting the ethical performance of health service providers when faced with disasters: a qualitative study [11] Professional ethics in context: Practising rural Canadian psychologists [12] Professional ethics in pharmacy: The Australian experience [13] Teaching professional ethics components from the viewpoint of students, Qom University of Medical Sciences [14] Factors affecting self-care in women with osteoporosis: A qualitative study with the content analysis approach [15] The practice of nursing research: Conduct, critique, and utilization [16] Essentials of nursing research: Methods, appraisal, and utilization [17] Three approaches to qualitative content analysis [18] Interviews: An introduction to qualitative research interviewing [19] Qualitative content analysis [20] Qualitative content analysis in nursing research: Concepts, procedures and measures to achieve trustworthiness [21] Addressing the hidden curriculum: Understanding educator professionalism [22] Academic misconduct by university students: Faculty perceptions and responses [23] Exploring spiritual needs and related skills in public health students [24] Kohlberg and hidden curriculum in moral education: An opportunity for students' acquisition of moral values in the new Turkish primary education curriculum Aims Professional ethics plays an important role in all professions; however, it has more importance among faculty members of universities. The aim of the current study was to explore the components of professional ethics in teaching from the perspective of faculty members in Iran. Participants & Methods This qualitative study was conducted in Sanandaj, Iran, in 2017. Using purposive sampling, 15 faculty members of Kurdistan University of Medical Sciences with educational experience were included in the study. Data were collected through individual interviews, group discussions, and field notes; and they were analyzed by conventional content analysis. To confirm the accuracy and strength of the data, acceptability, confirmability, and transferability factors were taken into account.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.480
GPT teacher head0.543
Teacher spread0.062 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2019
Admission routes1
Has abstractyes

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