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Record W2902545394 · doi:10.5744/rhm.2018.1012

Ethics for Rhetoric, the Rhetoric of Ethics, and Rhetorical Ethics in Health and Medicine

2018· article· en· W2902545394 on OpenAlexaff
Raquel Baldwinson

Bibliographic record

VenueRhetoric of Health & Medicine · 2018
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRhetoricRhetorical questionMedical ethicsSociologyApplied ethicsInformation ethicsMeta-ethicsEngineering ethicsPolitical scienceSocial scienceEnvironmental ethicsPhilosophyLawTheologyEngineeringLinguistics

Abstract

fetched live from OpenAlex

Should, and could, the rhetoric of health and medicine (RHM) develop a professional disciplinary code of ethics? In this commentary, I argue that RHM has special need for a code of ethics, but that we encounter unique barriers to codification. These barriers arise not because we are not ethical, but because we are distinctively ethical. By analyzing the rhetoric of the professional disciplinary code of ethics as a genre, it becomes evident that codes have the potential to restrict a humanities field’s ethical discourse to the domain of academic research and to limit its participation in the domains of health and medicine. Subsequently, I levy that certain generic conventions of the code of ethics do not adequately meet our needs as a health humanities field. I raise, instead, the possibility of an alternative statement of ethics that better mediates the health and humanities divide. Towards the feasibility of this prospect, I begin to theorize the notion of a “rhetorical ethics”: a conceptualization of RHM as a distinctive and legitimate approach to ethical discourse in health and medicine.

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)0.160
metaresearch head score (Gemma)0.249
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1600.249
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.027
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 head0.331
GPT teacher head0.578
Teacher spread0.247 · 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
GenreCommentary

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
Published2018
Admission routes1
Has abstractyes

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