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The image of the children’s nurse: a study of the qualities required by families of children’s nurses’ uniform

2000· article· en· W1983088502 on OpenAlexaff
Steve Campbell, Christine O’Malley, Don Watson, Jan Charlwood, Susan Lowson

Bibliographic record

VenueJournal of Clinical Nursing · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsNursingBattleSymbol (formal)ClothingPsychologyMedicinePolitical scienceHistoryComputer science

Abstract

fetched live from OpenAlex

Traditional views of the nurse see 'her' in a nurse's uniform, whether she be a 'sex symbol', 'angel of mercy' or 'battle axe'. Children's nursing has, over recent years, moved away from the idea of the uniform into more child friendly clothes, though the traditional uniform is still presented to the public by the media. The staff members of a Children's Outpatients Department (COPD) of a large acute hospital requested knowledge of the qualities families required from the uniform of nurses caring for them, prior to any change in uniform. This study aimed to develop an understanding of these qualities via the use of a survey presented to those attending the COPD. The findings indicate that there is a complex relationship between the qualities that families wish the uniform to present. A balance is needed between presenting a professional authority figure, providing security for families and suggesting an approachable figure, to allow effective communication between staff and families.

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)0.006
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.417
Teacher spread0.394 · 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

Citations25
Published2000
Admission routes1
Has abstractyes

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