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Record W4366821930 · doi:10.1111/nin.12554

Transforming normative, ableist, and biomedical orientations to living well and quality of life in nursing: Reimagining what a ventilated body can do

2023· article· en· W4366821930 on OpenAlexafffund
Elizabeth Straus, Helen Brown, Gail Teachman, A. Fuchsia Howard

Bibliographic record

VenueNursing Inquiry · 2023
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsWestern UniversityUniversity of British Columbia
FundersSchool of Nursing, University of British ColumbiaSocial Sciences and Humanities Research Council of CanadaUniversity of British ColumbiaCanadian Nurses Foundation
KeywordsNormativeQuality of life (healthcare)NursingSociologyPsychologyMedicineEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

A goal of living as well as possible is central to practice and research with young adults living with home mechanical ventilation (HMV). Significant effort has been put into conceptualizing and measuring the quality of life (QOL) as a proxy for living well. Yet, dominant understandings of QOL have been influenced by normative, ableist, and biomedical discourses about what constitutes a good life that, when applied in practice and systems with those living with HMV, can contribute to exclusion and constrain opportunities to live well. Inquiry into what certain understandings of living well can do is critical to opening up possibilities to reimagine living well with HMV. This paper draws on findings from a critical narrative inquiry that explored the experiences of five young adults (ages 18-40 years) living with HMV. Data were co-constructed virtually through an initial interview and photo-elicitation using participant-generated photographs. A critical narrative analysis of participants' stories made visible the ideological effects of ableist, biomedical, and individualist discourses and how the young adults reproduced and resisted these dominant discourses. Their stories further opened up possibilities for nurses and other healthcare providers to see living well and QOL differently.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.134
GPT teacher head0.453
Teacher spread0.319 · 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 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

Citations3
Published2023
Admission routes2
Has abstractyes

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