Turning the lion city pink: interrogating Singapore's new gay civil servant statement
Bibliographic record
Abstract
On 4 July 2003, Singapore’s former Prime Minister Goh Chok Tong dropped a small bombshell of an announcement in the main local newspaper The Straits Times. He declared, “In the past, if we know you’re gay, we would not employ you. But we have changed this quietly.” Now, the government will employ gay Singaporeans in ‘certain positions’, even sensitive ones, provided that these civil servants openly declared their sexual orientation. Expecting considerable indignant resistance form the conservative quarters, Goh attempted to placate them: “We are born this way and they [i.e. gay people] are born that way, but they are like you and me. \nThe furore that came in the wake of this announcement saw one very heterosexual man publicly decrying that the government had lost its moral authority to rule. To those of us more experienced in queer politics elsewhere, this man’s outrage seemed misplaced. Goh was merely offering employment to openly gay men and women, not legalising same-sex marriages as had happened in Toronto earlier in the summer. So why the public uproar?
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".