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Legal Consideration of Recognizing Dual Nationality in China

2012· article· en· W1926963341 on OpenAlexvenueno aff
Xuan Zhang, Yujing Zhu, Zhan Hongde

Bibliographic record

VenueCross-cultural communication · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsnot available
Fundersnot available
KeywordsNationalityHumanitiesChinaPolitical scienceNaturalisationEthnologySociologyCitizenshipImmigrationLawPhilosophy

Abstract

fetched live from OpenAlex

Currently, China adopts the principle of non-recognition of dual nationality. However, with the continuous development of society, and increasingly frequent international cooperation and exchanges, Chinese emigrants abroad are crying for state to recognize dual nationality system. And also, the issue of dual nationality has triggered a fierce debate in China. Under new situation in China, limited or targeted recognizing dual nationality meets the requirements of the law and applies theory to practice. China should make appropriate adaptations to the nationality policy so as to meet the demands of current economic and social development better. Key words : Dual nationality; Nationality law; Reciprocal principle; Overseas Chinese Resume Actuellement, la loi de la naturalisation n’approuve pas la double nationalites. Cependant, avec le developpement sans cesse de notre societe, l’augmentation de jour en jour de la collaboration et l’echange de la communication avec l’international, La demande des immigrants qui sont des chinois d’origine pour la reforme d’approuvement de la Double nationalites ne cesse de se croitre, le sujet de la Double Nationalite, ce sujet de la Double nationalite a egalement entrainer des discussions animees. La Chine sous la nouvelle forme, l’approuvement de la double nationalites est limite ou visee, mais ce dernier est conforme aux exigences judicaires et l’application de la pratique. La Chine devrait adjuster un peu ses reformes, afin de mieux s’adapter aux besoins de l’ere du developpement de la societe et de l’economie d’actelle. Mots cles : D o u b l e n a t i o n a l i t e s ; L o i d e l a naturalisation; Principe egale; Chinois d’etranger

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)0.001
metaresearch head score (Gemma)0.001
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 score0.777
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.002
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 head0.062
GPT teacher head0.402
Teacher spread0.340 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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