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Record W2782001106

Nurses and teachers : partnerships for green health promotion

2013· article· en· W2782001106 on OpenAlexaboutno aff
Marguerite C. Sendall, John Lidstone, Mary Louise Fleming, Michelle Domocol

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2013
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsHealth promotionHealth educationOccupational health nursingPublic healthSustainabilityHealth policyNursingPublic relationsMedicinePolitical scienceEcology
DOInot available

Abstract

fetched live from OpenAlex

<b>Background</b>: <br/>The term ‘green health promotion’ is given to health promotion underpinned by the principles of ecological health and sustainability. Green health promotion is supported philosophically by global health promotion documents such as the Ottawa Charter for Health Promotion (1986) and the ecological public health movement. Green health promotion in schools aims to practice the principles of ecological health and sustainability. <b><br/></b><b>Methods</b>: An extended literature review revealed a paucity of literature about green health promotion in schools across disciplines. Literature about nurses and health promotion in schools is generally found in nursing publications. Literature about ecological sustainability in schools is mostly found in teaching publications. <b>Results</b>: <br/>This paper explores the nexus between nursing and health promotion, and teachers and ecological sustainability. Collaborative partnerships between health and education do not capitalise on programs such as Health Promoting Schools and the School Based Youth Health Nurse Program in Queensland, Australia. The authors consider how collaborative partnerships between health and education in schools can work towards green health promotion. <b><br/></b><b>Conclusion</b>: Nursing’s approach to health promotion and education’s approach to ecological sustainability need to be aligned to enhance green health promotion in schools and promote a new generation of ‘tree huggers and hippies’.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.182
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.076
GPT teacher head0.374
Teacher spread0.298 · 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.

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

Citations3
Published2013
Admission routes1
Has abstractyes

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