Perspective Flight to Quality and a New Prime Minister’s Mandate
Bibliographic record
Abstract
The 2025 general elections (GE) in Singapore returned the People's Action Party (PAP) to power, with 65.57 percent of the vote share, an increase of more than 4 percent from 2020. The elections took place amidst global uncertainty. The results were more significant considering it was Prime Minister Lawrence Wong's first election as the leader of his party, and the first time that a new PM outperformed his predecessor. The Workers' Party (WP), Singapore's main opposition party, also did well in the constituencies it contested. The GE thus demonstrated both a flight to safety and flight to quality mindset on the part of voters, as evinced by the success of both the PAP and the WP. Even though the Trump tariffs—and the PAP making it a central issue in the campaign—moved voters in the direction of the PAP, such a shift was not universal, as the WP managed to resist this national swing. What this demonstrates is that if the opposition is deemed to be of "quality," it is able to hold its own against the PAP. The elections also suggest that voters view "quality" as comprising not just party brand and candidate credibility, but a party's ability to perform "on the ground," or on municipal issues.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".