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Mandatory reflection: the Canadian reconstitution of the competent nurse

2004· review· en· W1971175567 on OpenAlexaffabout
Sioban Nelson, Mary Ellen Purkis

Bibliographic record

VenueNursing Inquiry · 2004
Typereview
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsReflection (computer programming)NursingMEDLINEPsychologyMedicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

Over the past two decades, the competency movement has been gathering momentum internationally within the ranks of professional nursing. It can be argued that this momentum is in response to government initiatives aimed at improving consistency in workforce training and accreditation, and fostering national and international portability of qualifications. At the same time, the competency movement has provided the opportunity for regulators, service providers and government to develop mechanisms to reconstitute competent nurses as accountable, self-regulating subjects and to monitor this transformation in particular ways. The ways in which competencies have been taken up to do this transforming work in Canada are unique and deserving of some detailed description and analysis. We argue that Canadian nursing regulatory authorities have chosen to view competence as the rehearsal of ethical attributes consonant with the professional role, as opposed to the enactment of skilled conduct. As a result, reflective practices rather than skill and knowledge have become the cornerstone of nursing competency formulation and review. We argue that this distinctly Canadian approach to competency serves three ends. First, it privileges the "attribute" element of the nursing competency model and side steps the ever-problematic "nursing knowledge" issue; second, self-surveillance by nurses shifts the onus for professional development from industry to the individual; and third, it concedes responsibility for skill assessment by the regulatory authorities to industry control, leaving employers free to determine skill base and skill mix requirements for practice. Finally, we argue that the reflective component of the regulatory framework for Canadian nurses radically fails as a tool for auditing quality and assessing competency. Rather, it functions as a governmental practice that furthers the deregulatory and economic rationalist aims of the Canadian health reform agenda.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.010
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 head0.335
GPT teacher head0.565
Teacher spread0.230 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations49
Published2004
Admission routes2
Has abstractyes

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