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Record W4313815752 · doi:10.1177/18681026221145406

Citizenship and Education in Hong Kong: A Review of Contemporary Academic Literature

2023· review· en· W4313815752 on OpenAlexaff
Keenan Daniel Manning

Bibliographic record

VenueJournal of Current Chinese Affairs · 2023
Typereview
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsConcordia University
Fundersnot available
KeywordsCitizenshipChinaPoliticsIdentity (music)Field (mathematics)Citizenship educationGender studiesSociologyPolitical sciencePeople's RepublicPublic administrationLaw

Abstract

fetched live from OpenAlex

Hong Kong's distinct system, as a Special Administrative Region within the People's Republic of China, makes it an interesting case when examining the notion of citizenship, and how it shapes and is shaped by the education system. This article examines the existing literature at this important point in the territory's development. This review contains important lessons not only for the study of citizenship in Hong Kong, but also for how regional identity and citizenship can be shaped by the historical, social, and political forces. Finally, this article will present some of the gaps, which have been identified by scholars in the field.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.011
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.099
GPT teacher head0.458
Teacher spread0.359 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2023
Admission routes1
Has abstractyes

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