Bibliographic record
Abstract
Taiwan''s past language policy placed sole emphasis on “Standard Mandarin (based on Beijing dialect)” as the “National Language”, which severely suppressed the livelihood of native languages and the Hakka community of Taiwan was also one of the victims of this historic tragedy. This paper aims to use the “National Language Development Bill” as a basis for discussion to propose measures to resolve the problems surrounding Taiwan''s Hakka language. The structure of this paper consists of literature review in Chapter 2 “Theory Analysis” and “Analysis of National Language Development Bill and Related Laws and Bills” in Chapter 3. In Chapter 4, in-depth interviews were conducted for policy, law and implementation aspect analysis and in the final chapter, Chapter 5, there is the conclusion and recommendations. 1.The UNESCO “Convention on Cultural Diversity” lists the common vision of all humanity. This is the benchmark to measure the respect of human rights by modern democracies. Early establishment of language protection laws is a sign of an advance and more progressive policy. 2.Enforce the current and only language equality related law, the “Public Transportation Broadcast Equality Protection Law” to promote the concept of language equality. 3.Learn from Singapore''s experience of periodically organizing language review councils and development of language related curriculum measures to resolve or remedy language policy and language curriculum deficiencies. 4.Refer to Canada''s “mosaic” multiculturalism policies where each individual “tile” can maintain its own cultural identity. 5.Replicate New Zealand''s Maori language revival experience, reward the establishment of “Hakka kindergartens” and “Hakka elementary schools” to continue the Hakka language line. 6.Acknowledge that respect for cultural diversity is a universal value. Preservation of the languages and cultures of Taiwan''s ethnic groups as well as the construction of a “Language Database” is the duty of Taiwan''s government as well as its people. 7.Use the “concentric theory” to design and implement Hakka language education at all education levels, encourage cross-cultural learning and actively strive for acceptance from other communities. 8.The Hakka people should understand and realize the importance of the revival and inheritance of the Hakka language; the key to this is the awakening of Hakka consciousness. 9.Through community colleges, use the idea of “deliberative democracy” to address the inadequacies of the representative democracy system. This can help discover a new direction for the preservation of the Hakka''s “linguistic rights”. This paper is written in hope of providing assistance to government language policy design and implementation and improve the security of Taiwan''s Hakka people''s “linguistic rights”.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".