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Record W4297236023 · doi:10.1080/13548506.2022.2128195

Social suffering in individuals with chronic obstructive pulmonary disease: a secondary analysis of interpretative phenomenological study

2022· article· en· W4297236023 on OpenAlexaff
Ahtisham Younas, Hussan Zeb, Clara Isabel Tejada-Garrido, Ángela Durante

Bibliographic record

VenuePsychology Health & Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsInterpretative phenomenological analysisThematic analysisNonprobability samplingReflexivityPsychologyPulmonary diseaseLived experienceSocial supportDiseaseClinical psychologyMedicineDevelopmental psychologyQualitative researchPsychotherapistSociologyPathology

Abstract

fetched live from OpenAlex

Individuals with chronic obstructive pulmonary disease experience suffering that affects their families and community relationships. However, no studies provide an explicit account of social suffering among these individuals. This secondary analysis was conducted to understand the lived experiences of social suffering in individuals with chronic obstructive pulmonary disease. The theory of social suffering guided the analysis of an interpretative phenomenological study. Thirteen individuals were recruited using purposive sampling. Data were analyzed using reflexive thematic analysis. Three themes were generated: a) prevailing hopelessness and burden, b) progressing relational adversities, and c) struggling with co-dependency. Social suffering is a complex entity experienced by the patients and the family caregivers. For enhanced caregiving, health professionals could prepare patients to tackle the suffering through collective actions.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.396
Teacher spread0.362 · 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.

Study designObservational
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

Citations5
Published2022
Admission routes1
Has abstractyes

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