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Record W2159666994 · doi:10.12927/cjnl.2015.24233

Leadership, Education and Awareness: A Compassionate Care Nursing Initiative

2015· article· en· W2159666994 on OpenAlexaffvenueabout
Anne Simmonds

Bibliographic record

VenueNursing leadership · 2015
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCompassionNursingNurse educationTeam nursingPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

The Canadian Nurses' Association Code of Ethics (2008) and the College of Registered Nurses of Nova Scotia (CRNNS) Standards of Practice for Registered Nurses (CRNNS 2011) identify the provision of safe, compassionate, competent and ethical care as one of nursing's primary values and ethical responsibilities. While compassion has historically been viewed as the essence of nursing, there is concern that this has become an abstract ideal, rather than a true reflection of nursing practice. This paper describes a compassionate care initiative undertaken by the CRNNS and the initial outcomes of these educational workshops. This work is informed by an exploration of the multiplicity of factors that have brought this issue to the fore for nursing regulators, educators, administrators, the public as well as front-line staff. The two most significant areas of learning reported by workshop participants included understanding the connection between mindfulness, non-judgmental care and compassion/self-compassion and recognizing possibilities for action related to compassionate care, even in the face of personal and environmental constraints. Implications for nursing regulators and leaders include consideration of their roles and responsibilities in supporting nurses to meet professional practice standards, such as provision of compassionate 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 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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
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 head0.670
GPT teacher head0.544
Teacher spread0.126 · 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 teacher head, not a consensus.

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
Published2015
Admission routes3
Has abstractyes

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