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Record W2110773238 · doi:10.12927/cjnl..16338

Describing the Essential Elements of a Professional Practice Structure

2003· article· en· W2110773238 on OpenAlexaffvenueabout
Sue Mathews, Sara Lankshear

Bibliographic record

VenueNursing leadership · 2003
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsSouthlake Regional Health Center
Fundersnot available
KeywordsAccountabilityExcellenceProfessional studiesHealth careProfessional developmentPublic relationsProfessional associationEngineering ethicsSociologyKnowledge managementNursingMedicinePolitical sciencePedagogyComputer scienceEngineering

Abstract

fetched live from OpenAlex

The proliferation of program management coupled with the Introduction of the Regulated Health Professions Act, prompted many healthcare organizations in Ontario to introduce professional practice models. In addition, the Magnet Hospitals research (Kramer and Schmalenberg 1988) identified the existence of a professional practice model as a key element for recruitment and retention of professional staff. Professional practice models were introduced to address issues of accountability, identity and overlapping scopes of practice as experienced by healthcare professionals and organizations across the continuum of care. The authors of this paper describe exploratory work done through the Professional Practice Network of Ontario to identify the essential elements of the "ideal" professional practice structure, key areas of challenge and strategies for adapting these elements into an organization. The paper presents a list of 16 essential elements of an ideal professional practice structure with a further discussion on four key areas consistently identified as areas of challenge. This paper is intended to report, not the findings of a formal research study, but rather the result of facilitated dialogue among professional practice leaders in Ontario. The information will be of interest to healthcare organizations across the continuum of care and to professional associations and academic institutions, as we all address the challenges of creating a quality work environment that supports and fosters excellence in professional practice.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.191
GPT teacher head0.389
Teacher spread0.197 · 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.

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

Citations14
Published2003
Admission routes3
Has abstractyes

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