Retirement Resources Inventory in Portugal: An Adaptation and Validation Study
Bibliographic record
Abstract
Abstract A quarter of Portugal’s population is aged 65 years or over, mostly retired individuals. However, there is a lack of studies and instruments to facilitate retirement planning. This study aims to validate the Retirement Resources Inventory in Portugal to use it in future interventions. In total, 450 Portuguese retirees from all regions who responded to the inventory and sociodemographic questions participated in this study. According to the exploratory and confirmatory analyses, 23 items were found, confirming the four-factor model [χ 2 (gl) = 404.63(216); CFI = 0.90; TLI = 0.88; RMSEA = 0.06; SRMR = 0.06], with good evidence of internal and convergent validity. The first factor corresponded to physical and financial aspects, the second to social and family resources, the third to received support, and the fourth to emotional and cognitive resources. We recommend the replication of the RRI in a longitudinal study before and after retirement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".