Bibliographic record
Abstract
The purpose of this study was to determine the overall self-evaluation of international labor migration to Kuwait among Filipino female nurses working in Kuwait, and to determine when and where they plan to re-migrate in the future. The results of the questionnaire survey conducted in 2014 were compiled and analyzed. The results of the study can be summarized as follows. The results of the survey were summarized and analyzed as follows: First, I asked the nurses how they evaluated themselves overall as immigrants in Kuwait using a 5-point Likert scale. The mean rating was 3.6, which indicates that the nurses highly evaluated their immigration to Kuwait. By attribute, the overall rating tended to be higher for nurses working in public hospitals than in private hospitals, and the higher the level of satisfaction in the workplace, the higher the overall rating. Next, When I asked them when they plan to leave Kuwait, the most common answer was "about 3-5 years," at 37.5% of the total; within 10 years, 80% of the nurses planned torelocate from Kuwait. By attribute, it was statistically observed that the time of re-migration was earlier for those whose work affiliation was a private hospital than a public hospital, and for those whose overall immigrant rating was lower than for those whose overall immigrant rating was higher. As for the planned destination of re-migration, 53.4% of the total respondents were thinking were undecided. In other words, after working in Kuwait, the majority of the respondents plan to return to the Philippines. In the case of onward migration, the next destination is the United States, Canada, Australia, New Zealand, or the United Kingdom. These countries are economically, socially, and culturally "more desirable" for Filipino female nurses because they are English-speaking Christian societies, have better wages and employment conditions, and many of them allow permanent residency. However, re-migration to more desirable countries is not easy. In summary, Filipino female nurses enter Kuwait as a "transit point" in their stepwise international migration. Of course, some of them will then perform onward migration to "more desirable" countries, but many of them will continue to work in Kuwait for various reasons, and return migration back to the Philippines will become more prevalent in proportion to the length of their stay in Kuwait.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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; both teacher heads agree on what is shown here.
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".