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Record W4390984157 · doi:10.1177/13634593241226646

Composing adult lives with a ventilator at the intersection of developmental and neoliberal discourses of time

2024· article· en· W4390984157 on OpenAlexafffund
Elizabeth Straus, Helen Brown, A. Fuchsia Howard, Gail Teachman

Bibliographic record

VenueHealth An Interdisciplinary Journal for the Social Study of Health Illness and Medicine · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsWestern UniversityUniversity of GuelphUniversity of British Columbia
FundersSchool of Nursing, University of British ColumbiaSocial Sciences and Humanities Research Council of CanadaCanadian Nurses Foundation
KeywordsTemporalitiesNarrativePraxisIdeologySociologyGender studiesResistance (ecology)Narrative inquiryTemporalityIntersection (aeronautics)AestheticsEpistemologyPolitical sciencePoliticsArt

Abstract

fetched live from OpenAlex

This paper explores temporalities and experiences of time drawn from an analysis of interview data from a critical narrative inquiry of the experiences of young adults living with home mechanical ventilation (HMV). The analysis centers the ideological effects of dominant discourses that shape understandings of time in the Euro-Western world and the ways in which young adults' stories prompt a rethinking of time in health research and praxis. Data generation involved interviews and photo-elicitation with five young adults (ages 18-40). A critical narrative analysis of participants' stories surfaced the influence of ableist, developmentalist, and neoliberal discourses of time and the creative resistance that points to the potential of crip orientations to time in opening up possibilities for living. Implications for practice and research are offered.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.021
Scholarly communication0.0080.010
Open science0.0010.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.480
Teacher spread0.424 · 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.

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 routes2
Has abstractyes

Explore more

Same venueHealth An Interdisciplinary Journal for the Social Study of Health Illness and MedicineSame topicAdolescent and Pediatric HealthcareFrench-language works237,207