MétaCan
Menu
Back to cohort
Record W7073644346

Advancing nursing practice: The role of the nurse practitioner in an acute stroke program

2006· other· en· W7073644346 on OpenAlexaboutno aff

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2006
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAcute strokeAcute careExcellenceNurse practitionersReferralStroke (engine)Health carePopulation
DOInot available

Abstract

fetched live from OpenAlex

The Foothills Medical Centre in Calgary, AB, Canada, is a tertiarycare referral center for southern Alberta and southeastern British Columbia. The Calgary Stroke Program, which serves a population of 1.5 million people and a geographic territory of more than 114,233 square kilometers (44,622 square miles), annually offers acute and follow-up care to more than 1,000 people with stroke. Leading the team of healthcare professionals dedicated to providing excellence in stroke patient care is a stroke nurse practitioner (SNP). The nurse practitioner role in Canada, as in many healthcare settings, was initially developed in response to cutbacks in medical residency programs and increasing acuity levels of hospitalized patients (Irvine et al., 2000). This article describes the development of the SNP role and its impact on system and process changes and patient care and outcomes in an acute stroke program in the Calgary Health Region.

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)0.007
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.007
GPT teacher head0.217
Teacher spread0.210 · 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 designNot applicable
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

Citations1
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueQUT ePrints (Queensland University of Technology)Same topicDiverse Scientific and Economic StudiesFrench-language works237,207