A Psychological Appraisal of Pre-Retirement Anxiety Among Some Selected Workers in Lagos Metropolis
Bibliographic record
Abstract
This study presents the findings on workers reaction to retirement in Lagos metropolis. A total number of eight hundred (800) participants (M=400, F= 400) were randomly selected from both private and public sector organisations in Lagos metropolis. The data were collected using a pre-retirement anxiety scale (PAS) developed, standardized and validated by the researcher along side with emotional intelligence and self-efficacy scales. Simple percentages, independent t test and linear regression analyses were used for analysed the data. Some of the findings include: a) Workers classified as possessing low emotional intelligence and self efficacy reported higher pre-retirement anxiety compared to their counterparts who possessed high emotional intelligence and self efficacy. b) There were inverse relationships between emotional intelligence and pre-retirement anxiety on the one hand and self-efficacy and pre-retirement anxiety on the other hand. c) Workers’ levels of emotional intelligence and self-efficacy were important predictors of pre-retirement anxiety as they both accounted for 32% variance in pre-retirement anxiety. The implications of the findings in terms of minimizing pre-retirement anxiety were discussed and recommendations were made accordingly.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.041 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".