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A qualitative study of daily activities that inform a process-based model of well-being among Singaporean adults

2024· other· en· W6959270585 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Practices and Plant Genetics
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsThematic analysisQualitative researchCategorizationNonprobability samplingMeaning (existential)Context (archaeology)Personal construct theoryConstruct (python library)Interpersonal communication

Abstract

fetched live from OpenAlex

Abstract Background Individual appraisals of personal well-being consider a spectrum of constructs including the reflections on the degree to which one’s life is ultimately secure, meaningful, or valued in the context of dynamic changes in their bio-psycho-social environments. Standardized questionnaires for well-being evaluate an ideal state of health which is operationally defined by abstract constructs. Patient reports describe well-being as a more dynamic construct that relates to how they adapt to successive changes in their life situations. While response shift theory addresses this dynamic nature, little is known about how personal well-being is pursued as personal aspirations evolve. In this study, we identify regularly practiced goal-directed activities reported to contribute to the pursuit of personal well-being. We then propose a taxonomy of these reported activities to inform a process-based model for well-being. Methods Purposive sampling was conducted with individuals, 30 to 60 years of age, with diverse ethnicities reflecting the Singaporean population. Individual semi-structured interviews were administered with the primary question: “What are the things or activities you have done in the last two weeks that made you feel like you had a good day?” Probes explored the personally salient meaning of each activity. A thematic approach was used for data analysis followed by a framework analysis to categorize the activities into major themes. Results We interviewed 40 individuals comprised of 60% female participants. Thematic analysis identified eight types of goal-directed activities, which were categorized under three major themes: (i) Self-Affirming Care through individual self-care and maintaining interpersonal relationships, (ii) Achievement-Focused Tasks as indicated by work-related accomplishments and developing a skill or hobby, (iii) Affiliative Growth and Support as reflected through religious practices and community services. Planned physical activity contributed to self-affirming care and achievement-focused tasks. Social affirming roles were associated with both achievement-focused tasks and affiliative growth and support. Conclusions In the dimensions of goal-directed activities identified, there is close alignment between Self-Affirming Care and attachment theory; Achievement-Focused Tasks and self-determination theory; and Affiliative Growth and Support and social mattering. These findings can contribute to a comprehensive process-based model of well-being which is more closely aligned to patient-report appraisals of personal well-being.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.000

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 head0.062
GPT teacher head0.302
Teacher spread0.240 · 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 designNot applicable
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 routes1
Has abstractyes

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