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Nurse practitioners in Canada: Beginnings, benefits, and barriers

2007· article· en· W2025456258 on OpenAlexafffundabout
Odette N. Gould, Dusty J. Johnstone, Louise Wasylkiw

Bibliographic record

VenueJournal of the American Academy of Nurse Practitioners · 2007
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversity of WindsorMount Allison University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPrideNursingMedicineQualitative researchHealth careWork (physics)Face (sociological concept)Nurse practitionersSociologyPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: The goal of this qualitative study was to investigate the experiences of nurse practitioners (NPs) 1 year after they were first introduced to a mostly rural Canadian province. DATA SOURCES: Qualitative analyses of individual 45-min interviews with seven of the nine NPs in the province were carried out. CONCLUSIONS: Three main themes of importance were identified. First, a nursing philosophy with a holistic approach was described as being clearly different from medical care. Second, difficulties and barriers encountered in the establishment of the profession in the province were described. Third, despite these barriers, a pioneering outlook characterized by a sense of excitement and pride in the work was expressed. IMPLICATIONS FOR PRACTICE: For NPs to work effectively to reduce healthcare costs and increase access to health care, they need to be accepted by both the public and the other healthcare professionals. Moreover, it may be difficult for NPs to maintain their philosophy of care in the face of the expectations placed upon them.

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)0.005
metaresearch head score (Gemma)0.013
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.003
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.385
Teacher spread0.359 · 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

Citations56
Published2007
Admission routes3
Has abstractyes

Explore more

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