The Politics of Compromise: Analyzing the Repeal of Section 377a in Singapore
Bibliographic record
Abstract
This article discusses the repeal of Singapore’s Section 377A, the anti-gay sex law, which was announced by Prime Minister (PM) Lee Hsien Loong during the 2022 National Day Rally. I contend that the declaration by PM Lee demonstrates the possibilities and limits of advocacy coalition-building in Singapore. Utilizing the concept of calibrated social liberalization, I postulate that the repeal of Section 377A was the government’s response to shifting societal attitudes and years of strategic and adroit advocacy coalitionbuilding. However, predicated upon this success is that LGBT issues are not critical to the People’s Action Party’s (PAP) legitimacy, which is why it is willing to allow for contestations in this sphere. The PAP engages in social liberalization, without significant political liberalization; even then, the cultural liberalization is not absolute, as the government attempts to strike a political-electoral compromise with conservatives. Ultimately, calibrated social liberalization occurs in areas where there is significant public support, and on issues regarding which the government has no clear ideological predispositions.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".