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Record W4391655985 · doi:10.1016/j.ssmqr.2024.100408

Exploring the social determinants of health from the perspectives of people with spinal cord injuries: A disability studies approach

2024· article· en· W4391655985 on OpenAlex
Alfiya Battalova, Sheemouna Gurung, Hailey-Thomas Ford, Gurkaran Singh, W. Ben Mortenson, Habib Chaudhury

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSSM - Qualitative Research in Health · 2024
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of British ColumbiaSimon Fraser UniversityRoyal Roads University
FundersRick Hansen Institute
KeywordsSocial model of disabilityThematic analysisEmbodied cognitionMedical model of disabilityQualitative researchPsychologySocial determinants of healthHealth careSpinal cord injuryMedicinePublic healthSociologyNursingSpinal cordPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

The social determinants of health is an internationally recognized approach to analyzing the impact of non-medical factors on individual health. However, disability is mostly associated with inherent vulnerability without recognition of the social factors. The goal of this qualitative study is to examine the lived experiences of persons living with spinal cord injury (SCI) in coping and managing their health and functioning and to explore an interaction between their embodied experiences and structural issues that contribute to health and wellbeing of people with spinal cord injuries. A thematic analysis of 30 semi-structured interviews generated three themes that highlighted the tensions between the materiality of disability and the barriers associated with stigma, between the self-management strategies and the healthcare access, and finally between access to the formal supports and the invisible costs of living with a spinal cord injury. The findings emphasize the need to re-evaluate public health approaches, recognize the linkages between inequalities linked to disability, and incorporate an embodiment lens from a disability justice perspective.

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)0.030
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science 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 score0.164
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.708
GPT teacher head0.670
Teacher spread0.039 · 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