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Record W3036473604 · doi:10.25071/2291-5796.55

Nursing, Indigenous Health, Water, and Climate Change

2020· article· en· W3036473604 on OpenAlex
Darlene Sanderson, Noeman Mirza, Mona Polacca, Andrea Kennedy, R. Lisa Bourque-Bearskin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueWitness The Canadian Journal of Critical Nursing Discourse · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsMount Royal UniversityThompson Rivers University
FundersUniversity of Otago
KeywordsIndigenousHarmony (color)Climate changeDutyPolitical scienceEnvironmental ethicsEnvironmental planningEnvironmental resource managementGeographyLawEnvironmental scienceEcology

Abstract

fetched live from OpenAlex

Nurses have a duty to uphold the right to health. Clean water is vital for health as an inclusive right for all people, yet access is threatened by climate change. Complex impacts of colonization on climate change has resulted in two key problems: lack of clean water access by Indigenous Peoples and marginalization of Indigenous traditional teachings that support water protection. Indigenous teachings of living in harmony with Mother Earth are important contributions to global water policy and health solutions. Indigenous traditional laws on water protection may be understood through Indigenous water declarations. Nurses have an important opportunity to respect traditional teachings noting interconnections of health, water, and climate change to advance health. Water is life.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.563
Threshold uncertainty score0.999

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 studies0.0010.003
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 head0.071
GPT teacher head0.360
Teacher spread0.289 · 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