One Country, Two Systems, Three Languages: A Proposal for Teaching Cantonese,<i>Putonghua</i>and English in Hong Kong’s Schools
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AbstractCombining local, national and international languages — the last almost exclusively English in fact —is one of the most pressing issues facing educational professionals in today’s world. How and when can English be introduced to the school curriculum so that children still master literacy in local and national languages? Hong Kong’s language policy aims for its citizens to be trilingual in Cantonese, Putonghua and English and biliterate in Chinese and English. The current policy is that Cantonese should be the medium of instruction for all government primary schools, where English and Putonghua are taught as subjects. The majority of secondary schools are also Chinese medium, but about a quarter are English medium schools. Recently the government has signaled a possible controversial change in policy, as it has authorized a trial for ‘Chinese subjects’ to be taught through Putonghua in selected schools. At the same time ‘consumer’ demand for English is constantly heard. This paper will propose a ‘multilingual’ solution to the medium of instruction policy. First, medium of instruction policies and practices in Hong Kong will be reviewed and then possible future developments will be considered. Finally, a way of combining the local language (Cantonese), the national language (Putonghua) and the international language (English) in the school curriculum will be proposed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it