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Record W2292204017 · doi:10.14711/thesis-b697850

Being global versus being Chinese : a case study of returned students in Hong Kong

2001· dissertation· en· W2292204017 on OpenAlexaboutno aff
Wan-Wa Lai

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychologyGeography

Abstract

fetched live from OpenAlex

Hong Kong Chinese have always faced a dilemma in claiming a regional, localized Hong Kong identity and in claiming a cultural, national Chinese identity. The colonial history of Hong Kong has distinguished the city from any other Chinese societies. While inheriting the cultural legacy of Chinese people, Hong Kong Chinese see themselves distinct from Chinese people in Mainland China or in other Chinese societies. Since 1 July 1997, Hong Kong has become a part of China. The end of colonial era in Hong Kong sees an emergence of Chinese nationalism and patriotism in the ex-British colony. Hong Kong Chinese have few doubts with their Chinese nationality since then. Yet the zealous emphasis on Chinese-ness and nationalism has created tension to Hong Kong people, who are also very proud of their global personality and the international, cosmopolitan outlook of the City. In this study, I am interesting in learning how Hong Kong Chinese deal with this tension through maneuvering their different identities, in particular, as a global person and as Chinese national. I interviewed a group of returned Canadian university graduates, who exemplify the tension between being globalized and being nationalistic in postcolonial Hong Kong. I have noticed that my informants, consciously or not, strategically use essences of Chinese-ness and western-ness in the construction of their Hong Kong identity. This strategic essentialization in identity construction empowers my informants in passive resistance to the mainstream culture.

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)0.003
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.550

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0180.008
Scholarly communication0.0050.003
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.434
Teacher spread0.407 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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