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Record W2542505167

Landmark Articles From Volumes 31-40 / Des articles-jalons tirés des volumes 31 à 40 - Values That Matter, Barriers That Interfere: The Struggle of Canadian Nurses to Enact Their Values

2009· article· en· W2542505167 on OpenAlexvenueaboutno aff
Brenda L. Beagan, Carolyn Ells

Bibliographic record

VenueCanadian Journal of Nursing Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringEmpowermentNursingPower (physics)PsychologyHealth careMedicinePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Qualitative interviews were conducted with 20 nurses in a Canadian city to explore the moral experience of nurses in their working lives. The participants were asked what they valued in their profession and how well their work lives enabled them act on their values. Almost uniformly, they expressed commitment to the values of helping others, caring, making a difference, patient-centredness, advocacy, professional integrity, holistic care, and sharing knowledge for patient empowerment. They identified several challenges and frustrations experienced in attempting to enact these values. System-level challenges included professional hierarchies, organizational structures, issues in the health-care system, and power dynamics. Removing these barriers cannot be left to nurses alone. It requires complex, wide-ranging strategies: system change, power restructuring, and the creation of ethical climates and cultures that support values that are essential to good patient care.

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)0.009
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 score0.458
Threshold uncertainty score0.921

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.008
Science and technology studies0.0070.003
Scholarly communication0.0070.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0660.013

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 head0.241
GPT teacher head0.483
Teacher spread0.243 · 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

Citations2
Published2009
Admission routes2
Has abstractyes

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