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Record W55737771

Nursing education and the ethics of care

2003· dissertation· en· W55737771 on OpenAlexaboutno aff
Mechelina Thissen

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2003
Typedissertation
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsLawrence Kohlberg's stages of moral developmentCurriculumNursing ethicsNursingHealth careNurse educationPsychologyStorytellingEngineering ethicsPedagogySociologyMoral developmentMedicineNarrativePolitical scienceSocial psychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines ethical decision making in nursing. The impact of Kohlberg's theory is contrasted with those of Gilligan, Noddings, Diekelmann, and Benner. The influence of these theorists on nurse researchers to develop their own theories based on nurses' ways of knowing is explored. More specifically the thesis critiques the debate between the "ethic of justice" and "ethic of care". An ethic of care is more congruent with the nature of the nurse-patient relationship and the goals of the nursing profession than previously used paradigms. The thesis contends that nurses respect a fundamental commitment to an ethic of justice in their practice but an ethic of care provides the framework that determines their relationship with their patient. This thesis examines the ethics competency in Health: Nursing: Program of Study 180.A0 ., the new curriculum for nursing programs in Quebec, in relationship to the nursing literature on the teaching and learning of ethics. Storytelling, seen as an effective strategy to enhance moral thinking and behaviour, is included as a way to achieve the ethics competency, but its significance could be overlooked if the teacher is not familiar with the literature. A bibliography, which the curriculum does not contain, could remedy this potential problem.

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)0.007
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.020
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 head0.083
GPT teacher head0.481
Teacher spread0.398 · 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 designQualitative
Domainnot available
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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