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Record W4296285109 · doi:10.18778/1733-8077.11.2.11

Resinicization and Digital Citizenship in Hong Kong: Youth, Cyberspace, and Claims-Making

2015· article· en· W4296285109 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQualitative Sociology Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCyberspaceIdeologyChinaGovernment (linguistics)CitizenshipDemocracySociologyPoliticsResistance (ecology)Independence (probability theory)Political sciencePolitical economyMedia studiesLawPublic administrationThe Internet

Abstract

fetched live from OpenAlex

Under the “one country, two systems” model fashioned after its handover to China in 1997, Hong Kong, a Special Administrative Region of China, is to retain its rule of law, capitalist system, and accompanying political and ideological independence. However, tensions remain centered on concerns held by many Hong Kong citizens over the “resinicization” of Hong Kong, related to anxieties regarding the putative erosion of political and ideological freedoms. This paper examines the claims-making of the student activist group Scholarism, who effectively used Facebook to raise awareness of and successfully resist a government proposal to introduce a national education curriculum into Hong Kong schools. Scholarism’s resistance and ability to mobilize mass demonstrations against the government is significant considering the lack of democratic channels in Hong Kong. Implications are explored for the examination of how claims-making in cyberspace impacts the social problems process, especially in non-democratic and post-colonial contexts.

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 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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.214
GPT teacher head0.477
Teacher spread0.263 · 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