Financial Well-Being among Public Employees in Malaysia: A Preliminary Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Public employee’s innovativeness, responsiveness, efficiency and friendliness in services are the core prescriptions to enhance the competitiveness of one’s country. Financial well-being and employees are two aspects that consequently related with each other that have received substantial deliberation from researchers, employers and financial advisor. Financial well-being can affect both direct and indirectly towards an individual, team and also organization. Changes in employee’s financial well-being level whether it becomes high or low will affect their job performance. The purpose of this study is to discuss the level of public employee’s financial well-being in Malaysia as well as to examine the determinants of financial well-being. A total of 73 questionnaires have been distributed through e-survey (email based) using convenient sampling technique in order to conduct this pilot test (pre-test). Only 30 public employees have participated in this study. The results identified that majority of public employees is at the moderate level of financial well-being. Even so, appropriate action should be taken through financial education in order to prevent worst case scenario in the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| 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 it