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Record W2150150064 · doi:10.1177/0193945913478844

Perspectives of Aging Among Persons Living With Chronic Obstructive Pulmonary Disease

2013· article· en· W2150150064 on OpenAlexaff
Gail Low, Carolyn Ross, Michael K. Stickland, Donna M. Wilson, Eric Wong

Bibliographic record

VenueWestern Journal of Nursing Research · 2013
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychosocialPulmonary diseaseCOPDPulmonary rehabilitationMedicineRehabilitationPerspective (graphical)DiseaseIdentity (music)GerontologyPsychologyClinical psychologyPhysical therapyPsychiatryPathologyInternal medicine

Abstract

fetched live from OpenAlex

Among pulmonary rehabilitation attendees, we explored their tendency to downplay versus acknowledge physical and psychosocial health limitations, and the subsequent impact either strategy had on how they perceive their own aging process. Participants (N = 87) were 44 to 82 years of age, and diagnosed with chronic obstructive pulmonary disease (COPD). The St. George's Respiratory Questionnaire measured their health limitations. The Attitudes to Aging Questionnaire captured their perspectives of aging. Participants downplayed their symptoms and psychosocial impact, and remained most positive about psychosocial loss and carefully reserved about psychological growth. Acknowledged activity impairment had negative consequences, however, for their perspectives of physical change. These findings signify a balanced identity and perspective of aging that supports the Identity Process Theory. We encourage nurses and other practitioners, and researchers in pulmonary rehabilitation setting, to use this theory to better understand how people with COPD adapt to aging.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.374
Teacher spread0.339 · 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.

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

Citations6
Published2013
Admission routes1
Has abstractyes

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