Living in the Move: Impact of Guest Workers on Population Characteristics of the United Arab Emirates (UAE)
Bibliographic record
Abstract
This study highlights the effect of immigrant workers on the unprecedented demographic growth in the UAE, which has become one of the highest in the world. The population of the UAE has octupled in 30 years, from 0.5 million in 1975 to 4 million in 2005, leading to a serious demographic imbalance. Using the topical approach, this study investigates the demographic impact of migrant workers on UAE society. The study relies on census data collected between 1970 and 2005 (the most recent census). The study makes recommendations as to how decision makers can tackle the issues resulting from the presence of large numbers of migrant workers. At a time when the number of national university graduates has increased and the range of opportunities to enhance the national workforce has become immense, the essence of these recommendation is to rely less and less on migrant workers and encourage nationals to take on jobs in various areas. Over the next several decades, this will help reduce the presence of foreign mig...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".