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Record W2543116119

Landmark Articles From Volumes 31-40 / Des articles-jalons tirés des volumes 31 à 40 - Navigating Towards a Moral Horizon: A Multisite Qualitative Study of Ethical Practice in Nursing

2009· article· en· W2543116119 on OpenAlexvenueno aff
Paddy Rodney, Colleen Varcoe, Janet Storch, Gladys McPherson, Karen Mahoney, Helen Brown, Bernie Pauly, Gwen Hartrick, Rosalie Starzomski

Bibliographic record

VenueCanadian Journal of Nursing Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsEthosMeaning (existential)MetaphorHorizonNursingQualitative researchBiomedicineMoral reasoningEngineering ethicsSociologyPsychologyEnvironmental ethicsMedicineSocial psychologyPolitical scienceSocial sciencePsychotherapistLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This paper reports results of a qualitative study of nurses' ethical decision-making. Focus groups of nurses in diverse practice contexts were used as a means to explore meaning of ethics and enactment of ethical practice. The findings centre on metaphor of a moral horizon - horizon representing the good towards which nurses were navigating. The findings suggest that currents within moral climate of nurses' work significantly influence nurses' progress towards their moral horizon. All too often nurses found themselves navigating against a current characterized by privileging of biomedicine and a corporate ethos. Conversely, a current of supportive colleagues as well as professional guidelines and standards and ethics education helped them to move towards their horizon. The implications for nursing practice and for our understanding of ethical decision-making are discussed.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0030.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0370.006

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 head0.302
GPT teacher head0.615
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations3
Published2009
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Nursing ResearchSame topicEthics in medical practiceFrench-language works237,207