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Record W4405492396 · doi:10.24124/2024/59587

Canadian nursing perspectives in environmental justice for equity-oriented planetary health

2024· dissertation· en· W4405492396 on OpenAlexaboutno aff
Alysha T. Jones

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental justiceEquity (law)Health equityPsychologyBusinessGeographyPolitical scienceNursingMedicineLaw

Abstract

fetched live from OpenAlex

This project is intended to advance a Canadian perspective in environmental justice nursing scholarship. Additionally, it is intended to contribute to the discourse and praxis of equity-oriented planetary health nursing. The central question guiding this project is: How can Canadian nursing integrate environmental justice into its sphere of concern, particularly in the context of developing equity-oriented planetary health praxis? While environmental justice and its relationship to health are gaining prominence in American nursing literature, environmental justice remains largely overlooked by Canadian nurse scholars. Recognizing the limited environmental justice content within Canadian nursing literature, this Master of Science in Nursing project is intended to address this gap through three interconnected objectives. Firstly, this project is intended to provide a logical argument for expanding Canadian nursing’s mandate for social justice, health equity, and anti-racism to include environmental justice. This will involve providing a comprehensive background on the connections between environmental (in)justice and health to underscore the importance of addressing environmental justice within the nursing profession in Canada. Secondly, this project includes a review of existing literature on environmental, climate, planetary health, and environmental justice in nursing in Canada. This review aims to contribute to the groundwork for an environmental justice perspective in the newer discourse of planetary health nursing, thereby contributing to planetary health nursing praxis that is fundamentally equity-oriented. Finally, this project will address the identified gap in Canadian nursing through the creation of a continuing education course on environmental racism for nurses in Canada, as well as a university-level course focused on environmental justice and planetary health. This project is premised on the idea that nurses in Canada have a professional and ethical commitment to promote health equity, a goal that has also been prioritized by public health organizations worldwide. Furthermore, professional and regulatory nursing bodies across Canada have recognized racism as a public health crisis, and the inclusion of environmental justice in nursing aligns with the current push for thoroughgoing anti-racist nursing scholarship and practice. Integrating environmental justice into Canadian nursing therefore aligns with newer professional practice standards focused on anti-racism and longstanding professional commitments to social justice and health equity. By offering diverse environmental justice curricula for student nurses, practicing nurses, and nurse educators and scholars, the Canadian nursing community can respond to the needs of individuals, families, and communities unjustly marginalized by systems of oppression, and address the broad challenges posed by intersecting and co-occurring health equity and planetary health crises.

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)0.008
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.161
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0430.023
Scholarly communication0.0130.006
Open science0.0020.009
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0080.000

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 head0.069
GPT teacher head0.392
Teacher spread0.323 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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