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Record W2143102470 · doi:10.1093/her/cyg007

Health rights in secondary schools: student and staff perspectives

2004· article· en· W2143102470 on OpenAlexaboutno aff
Anne B. Smith

Bibliographic record

VenueHealth Education Research · 2004
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Health promotionMental healthPromotion (chess)Medical educationSchool healthPsychologyMedicineNursingPolitical sciencePublic healthPsychiatryPolitics

Abstract

fetched live from OpenAlex

This paper examines the perspectives of secondary school students and staff about the extent to which young people's health rights are catered for at school. The United Nations Convention on the Rights of the Child and the concept of Health-Promoting Schools encourage the provision of healthy school environments. A postal survey of secondary schools in New Zealand elicited responses from 821 Year 11 (15-16 year olds) students and 438 staff in 107 schools. Most students and staff reported that sources of health advice were available at their schools, but only a minority of students saw these sources as accessible or trustworthy. In every area of health promotion, students saw information and advice as less accessible than staff did. Most staff and students identified mental health problems such as depression as a source of concern in schools, but only a quarter of students (compared to half of staff) thought that this topic was covered during classtime. Students in lower-income schools reported the school environment as slightly less healthy than did students in high-income schools. The paper concludes that schools and policy makers should seek the voices and opinions of young people in order to improve effectiveness in catering for health rights.

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)0.013
metaresearch head score (Gemma)0.017
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 score0.013
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0120.007
Scholarly communication0.0110.004
Open science0.0010.008
Research integrity0.0030.004
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 head0.150
GPT teacher head0.614
Teacher spread0.464 · 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

Citations18
Published2004
Admission routes1
Has abstractyes

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