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Record W4410000790 · doi:10.1080/10611932.2024.2441138

Competing in Inclusive Education: Immigrant Chinese Parental Involvement, Educational System Knowledge, and Parental Agency

2024· article· en· W4410000790 on OpenAlexaboutno aff
Yuexin Deng

Bibliographic record

VenueChinese Education & Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
FundersChina Scholarship Council
KeywordsImmigrationAgency (philosophy)SociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Parental involvement in children’s education often prescribes strategies to align with educational authority. Prevailing perspectives view compliance with educational authority as subjection and its rejection as a form of autonomy. However, there is autonomous parental involvement that accepts educational authority but results in opposite practices. This study, based on interviews with first-generation immigrant Chinese middle-class parents in Canada, provides a nuanced understanding of educational authority and parental agency in a new educational context. These parents strive to acquire and acknowledge the principles of an inclusive educational system, yet paradoxically intensify competition in practice. Findings reveal that the central mismatch between the educational authority to which parents are subordinate and their actual involvement lies in their interpretation of the host society. First-generation Chinese immigrants struggle with mechanisms for selecting social talents and integrating into public life. In this context, these parents leverage class advantages to mitigate ethnic minority disadvantages. Their strategic use of educational knowledge to counteract the pressures of social integration challenges prevailing narratives about normalization. This study demonstrates that parents’ acceptance and subjection to educational authority are intertwined with their agency in ensuring their families’ well-being and securing their children’s futures.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.358
Teacher spread0.342 · 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.

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
Published2024
Admission routes1
Has abstractyes

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