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Record W3192009606

A Critical Policy Analysis of the Implementation of the Bi-Literacy and Trilingualism Language Policy in Hong Kong: From a Postcolonial Perspective

2021· article· en· W3192009606 on OpenAlexvenueno aff
Yulong Li

Bibliographic record

VenueSFU Educational Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLanguage policyMandarin ChineseLiteracyCurriculumGovernment (linguistics)ChinaPolitical sciencePublic policyResistance (ecology)SociologyPedagogyLinguisticsLaw
DOInot available

Abstract

fetched live from OpenAlex

On 1st of July, 1997, the sovereignty of Hong Kong was transferred to the People’s Republic of China and the Bi-literacy (Chinese and English) and Trilingualism (Cantonese, Mandarin, and English) Language Policy was initiated by the Hong Kong Special Administrative Region Government in order to include Mandarin alongside English and Cantonese as the official languages of Hong Kong to be taught in the public school curriculum. However, there was much resistance to this policy and cases of discrimination against Mandarin and its speakers, even in schools, were reported. Using the framework of Contexts of Policy Making, this study examined the implementation of the Bi-literacy and Trilingualism language policy in Hong Kong. The analysis reveals that the resistance to Mandarin on the part of the populace of Hong Kong can be understood from the perspectives of postcolonialism and anti-cultural imperialism. This analysis makes a useful resource for policy makers to refine the Bi-literacy and Trilingualism Language Policy in the future.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.233
Threshold uncertainty score0.464

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.006
Scholarly communication0.0060.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.034
GPT teacher head0.559
Teacher spread0.525 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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Same venueSFU Educational ReviewSame topicMultilingual Education and PolicyFrench-language works237,207