Financial Well-Being: Financial Ratio Analysis of Married Public Sector Workers in Malaysia
Bibliographic record
Abstract
The purpose of this study is to explore the usefulness of two family financial ratio guidelines in assessing the financial well-being of married public sector workers in Malaysia. The ratios examined were savings and debt-payment. Data on 415 workers were gathered from the Financial Well-being of Workers of Dual-earner Family survey report in 2008. The findings showed most of the workers had a savings ratio of less than 10 percent. Meanwhile, more than half of the workers had debt-payments ratio of more than or equal to 20 percent. In addition, the workers fall into four categories, namely are A, B, C and D, of which level A is the best and level D the worst. Typically, most of the workers are in level D (42.2%) and level B (30.1%). In summary, the study revealed that the culture of saving among the workers was still at the unsatisfactorily level.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".