MétaCan
Menu
Back to cohort
Record W4408365122 · doi:10.1177/17455057241311955

Nursing and planetary health: A discussion article

2025· article· en· W4408365122 on OpenAlexaff
Salima Meherali, Saba Nisa, Yared Asmare Aynalem, Zohra S Lassi

Bibliographic record

VenueWomen s Health · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNursingTransformative learningOccupational health nursingSustainabilityHealth careMedicineGlobal healthHealth educationEngineering ethicsPolitical scienceSociologyPublic healthEcologyEngineeringPedagogy

Abstract

fetched live from OpenAlex

This discussion article discusses the integration of planetary health into nursing practice and education, highlighting the transformative potential of this approach in improving global health outcomes. Planetary health emphasizes the interdependence between human health and the health of our planet's ecosystems, advocating for a sustainable approach to healthcare. This article explores how nursing practice can incorporate planetary health principles to address environmental determinants of health and promote sustainable practices. It also discusses the role of nursing education in preparing future practitioners to understand and act on the links between environmental sustainability and health. By aligning nursing education with planetary health objectives and fostering leadership in this area, the nursing profession can contribute significantly to addressing global health challenges, advocating for systemic changes, and implementing practices that protect both human and environmental health.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.339
Teacher spread0.310 · 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

Citations5
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueWomen s HealthSame topicClimate Change and Health ImpactsFrench-language works237,207