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Research and development in a Northern Ireland trust

2002· article· en· W2062402256 on OpenAlexaff
Michèle Glacken

Bibliographic record

VenueNursing Standard · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsTrinity College
Fundersnot available
KeywordsLikert scaleLimitingTerminologyContext (archaeology)Scale (ratio)PsychologySurvey instrumentNorthern irelandNursingMedicineApplied psychologySociologyGeography

Abstract

fetched live from OpenAlex

AIM: A cross-sectional survey was carried out with the aim of ascertaining the perceived research and development (R&D) capacity of an integrated trust in Northern Ireland. METHOD: All registered nurses in the trust were invited to participate (n = 786). Data were collected via the Research and Development Culture Index, which is an 18-item, four-point Likert scale. It addresses R&D capacity under three main headings: context, knowledge/skills and intent. RESULTS: A number of areas were perceived as limiting the R&D capacity of the trust, such as a lack of support for nurses in changing practice, a lack of knowledge of research terminology and how to apply findings to practice, but an overwhelming desire by the nurses to overcome these barriers emerged. CONCLUSION: The trust responded to the findings of the survey and introduced a number of strategies to counteract the limitations noted, such as the introduction of R&D link nurses trust-wide.

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)0.010
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.287
GPT teacher head0.541
Teacher spread0.254 · 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 designObservational
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

Citations19
Published2002
Admission routes1
Has abstractyes

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