The Spatial Impact of Language Policies on the Marginal Bids for English Education in Hong Kong
Bibliographic record
Abstract
ABSTRACT In 1997 the government of Hong Kong reformed its policy on the language medium for teaching at the secondary‐school level and removed schools' right to choose their own medium. Among the 404 public and “aided” secondary schools in Hong Kong, the government allowed only 100 to use English as the medium for teaching and required the remaining 304 to use the native language, Chinese. The authors assess the spatial impact of the policy reform and estimate the bid function for English‐language schools. The results show that the 1997 policy reform shifted parental preferences from public to private education and increased the marginal bid for proximity to private English schools by 2 percent. Following the reform, homeowners were willing to pay, on average, HK $8,400 for each additional 100 metres closer to a private English school.
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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 | 0.000 | 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".