MétaCan
Menu
Back to cohort
Record W7162022691 · doi:10.82308/17393

Chinese immigrant parents' educational expectations and school participation experience

2005· dissertation· en· W7162022691 on OpenAlexaboutno aff
Li Ma

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationMainstreamCultural capitalQualitative researchChinese americansSocial capital

Abstract

fetched live from OpenAlex

Recent years have witnessed the large number of Chinese immigrants in Canada. With the coming of those immigrants is the large number of school age children. Hence, immigrant families' educational expectations and parental participation in their children's schools become major educational concerns. This study focuses on recent Chinese immigrants' expectations of and concerns about their children's schooling. Drawing from Bourdieu's cultural capital theory and Ogbu's social mobility theory, in this study, I used a qualitative interview methodology to explore the educational expectations and school involvement of five Chinese parents who had recently immigrated to Canada. The educational expectations for their children and school participation of these Chinese immigrants are deeply rooted in Chinese tradition and heritage and are also greatly shaped by their personal experiences in Canada. Their cultural values and beliefs and immigration experiences as visible minorities have had a great impact on their educational expectations. Language barriers and different cultural values between dominant mainstream and Chinese traditions are the two main factors that hinder immigrant parents' participation in school activities and hence in their children's schooling.

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)0.003
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 score0.157
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.029
GPT teacher head0.421
Teacher spread0.392 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicParental Involvement in EducationFrench-language works237,207