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Record W3207622737 · doi:10.1080/02703181.2021.1989545

Understanding Identity Negotiation of Parkinson’s Disease and Occupational Engagement Using Narrative Inquiry

2021· article· en· W3207622737 on OpenAlex
Elena Sheldrake, Colleen McGrath, Debbie Laliberté Rudman, Jeff Holmes

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.

Bibliographic record

VenuePhysical & Occupational Therapy In Geriatrics · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWestern University
Fundersnot available
KeywordsNegotiationThematic analysisIdentity (music)Identity negotiationPsychologyNarrativeQualitative researchSociologyAestheticsSocial science

Abstract

fetched live from OpenAlex

Aims Many older adults with Parkinson’s disease experience challenges negotiating identity, often with negative implications for wellbeing. This study explores how older adults with Parkinson’s disease negotiate identity post-diagnosis, specifically addressing how they recount their management of identity and its impact on their occupational engagement.Methods Using a constructivist narrative approach, three participant sessions were conducted with five older adults with Parkinson’s disease. Line-by-line and thematic coding was completed.Results Three major themes emerged across narratives including: (a) Attempts to convey, maintain, and negotiate identity; (b) Resisting a disabled identity and (c) The centrality of occupation and social roles in negotiating identity.Conclusion Common themes of personal and social identity that threaten or support an older adult with PD’s decisions about occupational engagement were identified. Results of this study can be used by occupational therapists to better understand the influence of identity on occupational engagement.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.491
GPT teacher head0.536
Teacher spread0.044 · 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