Understanding High Levels of Singlehood in Singapore
Bibliographic record
Abstract
The trend towards late marriage and nonmarriage has characterized East and Southeast Asia over the past three decades. Singlehood levels in Singapore are high, particularly among the Chinese population. Based on a recent qualitative study on 30 single Singaporeans of Chinese descent, the paper examines a number of factors relevant to the high level of singlehood among Chinese population in Singapore. The high financial and opportunity costs of marrying and raising a family are shown to be relevant, as well as increasing individualism and changing attitudes about marriage. The paper argues that the trend towards marriage postponement and non-marriage in Singapore is related to increasing emphasis on freedom, independence and self-actualization, greater individual decision making about marriage, the increasing social acceptability of premarital sex and cohabitation and changing attitudes about the desirability of marriage. Some findings from our Singapore case seem to echo the second demographic transition as reported in many Western societies. These findings may have implications for the Singapore government’s population and social policy in terms of shaping positive attitudes towards marriage and procreation and building effective matchmaking institutions.
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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 | 0.002 | 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 | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".