Implementing Socioeconomic Measures to Tackle Economic Uncertainties in Singapore
Bibliographic record
Abstract
Abstract Since its independence in 1965, the government of Singapore has played a key role in orchestrating the political, social, and economic development of the city-state. Faced with the challenge of recent economic downturn, the government has reacted positively through the introduction of a number of socioeconomic measures to alleviate the plight of needy people. The main thrust of the social and economic measures implemented is to strengthen the citizens' capacities. The government thus sees human capital development even in the context of economic downturn as the critical factor to further social and economic development. Overall, policymakers in Singapore put emphasis on individual responsibility and familial support, while giving primacy to the harmonization of social and economic development. “The government, on its part, will ensure that every Singaporean has equal and maximum opportunity to advance himself, while providing a social safety net to prevent the minority who cannot cope, from falling through. This way, we can have an enduring social compact where the able can do very well, and we can use some of the wealth generated by them to subsidise and help the less able.”—Prime Minister Goh Chok Tong's National Day Rally Speech (August 19, 2001).
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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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".