MétaCan
Menu
Back to cohort
Record W1947845323 · doi:10.1111/nin.12107

An analysis of <scp>E</scp>ngland's nursing policy on compassion and the 6<scp>C</scp>s: the hidden presence of M. <scp>S</scp>imone <scp>R</scp>oach's model of caring

2015· article· en· W1947845323 on OpenAlexaboutno aff
Ann Bradshaw

Bibliographic record

VenueNursing Inquiry · 2015
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
Fundersnot available
KeywordsCompassionSisterDehumanizationRelevance (law)NursingSociologyPsychologyMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

In 2012, chief nursing officers (CNO) in England published a policy on compassion in response to serious criticisms of patients' care. Because their objective is fundamentally to shape nursing, this study argues, following Popper, that the policy should be analysed. An appraisal tool, developed from Popper, Gadamer, Jauss and Thiselton, is the framework for this analysis. The CNO policy document identified six values and behaviours, termed '6Cs', required by all nurses, midwives and care staff. The document contains no data, references or acknowledgements, but is similar to the 6Cs defined by the Canadian nursing nun, Sister M. Simone Roach, in her theory of caring published 30 years earlier. Roach considered caring and the components of it, including compassion, to be moral virtues, an inner motivation to care. This study suggests that without explicit reference to Roach's ideas, and her underlying theoretical base, the CNO requirement has the effect of turning virtues into commodities and a form of external control, described by Ritzer as a McDonaldized dehumanization. This study, which has international relevance beyond England and the UK, suggests that the CNO revise their policy by acknowledging Roach's 6Cs and openly discuss the implications of her work for their policy.

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)0.003
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.145
GPT teacher head0.403
Teacher spread0.258 · 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

Citations20
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueNursing InquirySame topicFamily and Patient Care in Intensive Care UnitsFrench-language works237,207