Death at the races: The Portuguese presence during the Happy Valley fire of 1918
Bibliographic record
Abstract
In the early years of Hong Kong, there were a few times when a single event allowed social classes to mix and status distinctions to blur. As Henry Lethbridge reminded us, one was the St. Andrew's Day Ball in late November. Another was Derby Day in February at the Happy Valley Race Course. This is the story of that event in 1918, a tragic memory for many residents, especially in the Chinese and Portuguese communities. It is a story of neglect, greed, ethnic divisions, and in some respects, collaboration by some who ultimately lost their lives. The present study relies on contemporary newspaper articles, eye-witness accounts, and government reports to focus on the involvement of the Portuguese middle-class, a largely neglected group that contributed significantly to Hong Kong's early success. By documenting their presence, we are introduced to the Portuguese as actors in a colonial society that served as a world trading centre and gateway to Asia throughout much of the twentieth century.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".