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Record W3005883160 · doi:10.5539/gjhs.v12n3p86

Ethical Issues of Informed Consent: Students as Participants in Faculty Research

2020· article· en· W3005883160 on OpenAlexvenueno aff
Phatcharapon Tulyakul, Soontareeporn Meepring

Bibliographic record

VenueGlobal Journal of Health Science · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsInformed consentConfidentialityCoercion (linguistics)PsychologyEthical dilemmaDilemmaMedical educationFace (sociological concept)Ethical issuesEngineering ethicsMedicinePolitical scienceAlternative medicineSociologyLaw

Abstract

fetched live from OpenAlex

Educators may face an ethical dilemma when they conduct research by using their own students as participants. The dual role conflict, coercion, confidentiality, misconstruction, and unawareness of the informed consent documents have been discussed as ethical issues in such faculty research. The educators as the researchers should be aware of these ethical dilemmas and attempt to implement the informed consent effectively. Thus, this article explores the ethical considerations of informed consent for the educational setting that students are recruited in the faculty research. Furthermore, this article represented recommendations for potentially resolving the ethical dilemmas of informed consent surrounding this phenomenon which consisted of eliminating dual role conflict and coercion, guarding confidentiality, and promoting good construction and awareness of the informed consent documents.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.561
metaresearch head score (Gemma)0.630
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5610.630
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0040.005
Science and technology studies0.0110.067
Scholarly communication0.0190.025
Open science0.0070.018
Research integrity0.0310.036
Insufficient payload (model declined to judge)0.0050.003

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 head0.371
GPT teacher head0.653
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
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

Citations7
Published2020
Admission routes1
Has abstractyes

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