Single Singaporeans and their Hesitation to use Commercial Matchmaking Services
Bibliographic record
Abstract
The rising proportion of singles in several East and South-east Asian countries and the related concerns of low fertility have resulted in policy makers in the region introducing state sponsored matchmaking services to help singles enter the nuptial phase. In this paper, the case of Singapore is discussed with particular reference to the hesitation of singles to use such marriage intermediaries. Using a qualitative approach involving 83 single Singaporeans of different ethnic and social backgrounds, the aversion to commodification in the mate selection process, the lack of authenticity and spontaneity that ensues from finding matches through commercial services, and the concern that agencies do not provide quality singles are identified as potential barriers to the use of matchmaking services. Possibly the early involvement of the state in promoting such matchmaking services is being resisted by singles who are averse to subjugating their freedom to pursue the spontaneity of romantic love for the pragmatism of matchmaking.
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 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".