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Record W4403082738 · doi:10.1111/nin.12677

Critical posthumanism: A double‐edged sword for advancing nursing knowledge in planetary health

2024· article· en· W4403082738 on OpenAlexafffund
Lesley Hodge, Joanne Olson

Bibliographic record

VenueNursing Inquiry · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsPosthumanismCLARITYEngineering ethicsMedical journalSociologyEpistemologyEnvironmental ethicsComputer sciencePhilosophyEngineeringBiologyLibrary science

Abstract

fetched live from OpenAlex

In this article, we aimed to evaluate the utility of critical posthumanism for nurses interested in planetary health-a growing area of study that requires a decentering of the human, and environmental justice considerations. We used Chinn and colleagues' method to describe and critically reflect on critical posthumanism, extending the theory analysis method to include a wide range of academic and video sources. We found that critical posthumanism is like a double-edged sword: It provides a lens through which to transcend human-centric approaches to healthcare but is marred by its lack of clarity and inaccessibility. We argue critical posthumanism can be adapted to enhance its potential at the intersection of nursing and planetary health. An analysis of critical posthumanism is followed by a discussion framed by five ways of knowing in nursing, highlighting real-world examples of how critical posthumanism can aid nurses in dealing with planetary health concerns. By exploring the intersections of critical posthumanism with nursing knowledge, we demonstrate how critical posthumanism can enable nurses to comprehend and tackle environmental issues intricately linked to human 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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.862

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 head0.124
GPT teacher head0.440
Teacher spread0.316 · 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 designOther design
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

Citations1
Published2024
Admission routes2
Has abstractyes

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