Understanding Personal Goals In Retirement And Their Relationship With Life Satisfaction: An Australian Perspective
Bibliographic record
Abstract
Given Australians will spend almost a quarter of their life in retirement there has been little focus on the life satisfaction of this growing segment and specifically, a lack of research on how retirees themselves view the influences that contribute to a satisfying life. The primary aim of this thesis was to develop a more holistic understanding of how Australian retirees assess their life satisfaction and the factors contributing to it and what, if any, the role of goal-setting plays in enhancing life satisfaction. Drawing on HILDA data to provide a context-setting overview of research measuring the life satisfaction of Australians aged 55+ years revealed that higher satisfaction was associated with a range of demographic, socioeconomic and activity variables. These outcomes informed the primary qualitative study of the thesis involving in-depth interviews with 60 community-dwelling retirees aged 57 to 88 years living in New South Wales. This was done to explore 1) the subjective influences on life satisfaction important to the individual retiree; and 2) the perceived value and usefulness of goal-setting in retirement. With life satisfaction, findings revealed complex interactions between influencing factors driven by four underlying themes: independence and security; connection and contribution; meaning and enjoyment; outlook and acceptance. Goal-setting in retirement revealed that retirees attached different meanings and meaningfulness to the concept of goals with three profiles emerging: acceptor, rejector and ambivalent. Goal-setting motivations varied according to age and time in retirement with three typologies identified: ‘expansion and exploration’ (earlier retirement), ‘connection and contribution’ (later retirement) and ‘autonomy and survival’ (advanced age). The study outcomes provide a more nuanced understanding of factors that influence retiree life satisfaction and the relevance and value of goal-setting in the life satisfaction of older Australians.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".