MétaCan
Menu
Back to cohort
Record W2084251951 · doi:10.1177/136140960100600504

Partnerships for changing practice: Lessons from South Thames Evidence-based Practice project (STEP)

2001· article· en· W2084251951 on OpenAlexaff
Fiona Ross, Susan McLaren, Sally Relfeirn, Cathy Warwick

Bibliographic record

VenueJournal of Research in Nursing · 2001
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsGeneral partnershipRubricPerspective (graphical)Public relationsPolitical scienceProcess managementKnowledge managementBusinessSociologyPedagogyComputer science

Abstract

fetched live from OpenAlex

Partnership working is central to the rubric of contemporary health policy. This paper discusses and analyses the STEP partnership model and the issues emerging for academic and service coalitions, which were formed for the purpose of implementing evidence-based practice in nine clinical centres. Using a framework for collaboration, key themes for successful partnerships are summarised in a model as contextual factors: articulating a clear purpose, identifying the capacity to collaborate, ensuring wide organisational ownership, nurturing fragile relationships and securing collaborative, mutually beneficial outcomes. The paper focuses on the experience of setting up, managing, supporting and evaluating the STEP partnership from the perspective of academic and clinical leads and the independent evaluation.

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)0.028
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.003
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 head0.602
GPT teacher head0.665
Teacher spread0.063 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations12
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Research in NursingSame topicPrimary Care and Health OutcomesFrench-language works237,207