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Record W3171392499 · doi:10.7202/1077633ar

Documenting Clinical Ethics Consultation

2021· article· en· W3171392499 on OpenAlex
Amanda Porter

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Bioethics · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsDalhousie University
Fundersnot available
KeywordsConfidentialityDocumentationNormativeNursing ethicsAccountabilityClinical EthicsInformation ethicsPerspective (graphical)Military medical ethicsMedical ethicsEthical codeHealth careEngineering ethicsMedicinePsychologyPolitical sciencePublic relationsLaw

Abstract

fetched live from OpenAlex

This short perspective piece is about the documentation of clinical ethics consultation in Canada. It is written at a time when the Canadian Association of Practicing Health Care Ethicists (CAPHE) is endeavoring to develop standards of practice for clinical ethics in Canada. This brief commentary is informed by my experience working in clinical ethics in three different provinces, but it is primarily an attempt to draw attention to the normative questions: How much and what kinds of information should be included in clinical ethics documentation? Where should ethics consultation reports be saved, and who should have access to them? These questions are, more fundamentally, about how we should balance concern for privacy, confidentiality, professional integrity, accountability and the promotion of trust. They are also about where clinical ethics fits within the broader Canadian health system.

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.

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)0.044
metaresearch head score (Gemma)0.350
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0440.350
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.031
Insufficient payload (model declined to judge)0.0010.000

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 head0.440
GPT teacher head0.622
Teacher spread0.182 · 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