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Record W2954522615 · doi:10.31228/osf.io/h9wgx

Academic Freedom and Critical Speech in Hong Kong: China's Response to Occupy Central and the Future of 'One Country, Two Systems'

2017· article· en· W2954522615 on OpenAlexaff
Carole J. Petersen, Alvin Y.H. Cheung

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsMcGill University
Fundersnot available
KeywordsChinaAcademic freedomPolitical scienceConstitutionDemocracyAutonomyTreatyLawFreedom of movementHuman rightsPublic administrationHigher education

Abstract

fetched live from OpenAlex

Since July 1997, when Hong Kong was reunited with the People’s Republic of China, academics in the Special Administrative Region of Hong Kong have fiercely protected their right to engage in critical speech and practice academic freedom. They have been aided by Hong Kong’s regional constitution (known as the “Basic Law”), which incorporates international human rights treaties into domestic law and contains unusually detailed protections for freedom of expression, academic freedom, and educational autonomy. These constitutional provisions originated in the Sino- British Joint Declaration, a bilateral treaty that was duly registered with the United Nations. Nonetheless, this article documents a dramatic decline in academic freedom in Hong Kong since the last comprehensive study of the topic was published in 2006. This is partly because the Chinese Communist Party has made a concerted effort to punish Hong Kong academics and student organizations for their role in the Umbrella Movement and other pro-democracy movements. Equally important, there have been significant changes to the governance structure in Hong Kong’s universities over the past decade, creating overly-centralized universities that are far too vulnerable to outside interference. These developments have already damaged the quality and international reputation of Hong Kong’s universities, which will ultimately hurt not only Hong Kong but also the People’s Republic of China.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.345
Teacher spread0.326 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2017
Admission routes1
Has abstractyes

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