Putonghua-Language Radio Programming in Hong Kong: RTHK and the Putonghua Audience
Bibliographic record
Abstract
Three months before the People's Republic of China regained control over Hong Kong, the government-sponsored media service Radio Television Hong Kong (RTHK) began offering Putonghua-language (Mandarin) programming. Since then, the channel has been broadcasting programs for three groups of people. These programs help Mainlanders assimilate to Hong Kong, help Cantonese-speaking Hong Kong people learn the language of the Mainland, and provide a means for overseas Chinese in Hong Kong to be exposed to the mother tongue and learn about what is happening in Mainland China. This paper examines the evolution of programming on RTHK through the first three years of operation. Putonghua Channel has experimented with various types of programs, using block programming/niche programming to meet the needs of RTHK's varied audiences. RTHK's Putonghua Channel is an example of government-sponsored public broadcasting that focused on language to deliver programming for the specific needs of specialized audiences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".