Mineworkers’ Perspectives Towards Participating in Retirement Planning in South Africa
Bibliographic record
Abstract
This study investigated the individuals’ perspectives towards participating in retirement planning in the mining industry in South Africa. The study employed a quantitative research approach. The study sampled 172 mineworkers from the selected mining company. A self-administered questionnaire was tested for validity and reliability and was used to collect primary data from the respondents. This study employed the logistic regression model and performed the Hosmer–Lemeshow test to evaluate the fit of the logistic regression and the Chi-square to determine the significance of the results. In this study, the data were analysed using descriptive and inferential statistics. The findings revealed that some participants are satisfied with their involvement in the retirement funds and are contributing to the retirement funds provided by the company. Furthermore, this study found that the majority of the respondents will be financially independent after retirement; however, there is still a firm belief of uncertainty about not being financially independent. The study found a significant and positive relationship between age and participation in retirement planning. Furthermore, a positive and significant link was found between marital status and participation in retirement planning as well as between employment status and participation in retirement planning. The study was limited to the selected company based in Gauteng. The practical implication of this paper informs the companies, policymakers, and government to prioritise awareness of retirement planning based on demographical factors such as age, marital status, and employment status to prepare mineworkers for retirement. The findings are expected to persuade the mining sector to pay special attention to the awareness and understanding of retirement planning.
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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 | 0.002 | 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 | 0.000 | 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) | 0.000 | 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".