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Record W2347981766

National Relations and New Racism in Multicultural Society——Social barriers faced by mainland Chinese immigrants in Canada

2010· article· en· W2347981766 on OpenAlexaboutno aff
Zong Li

Bibliographic record

VenueXi'an Jiaotong Daxue xuebao · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsMainlandImmigrationMulticulturalismRacismMainland ChinaFace (sociological concept)Gender studiesSociologyEthnic groupPolitical sciencePrejudice (legal term)Social scienceGeographyAnthropologyChinaLaw
DOInot available

Abstract

fetched live from OpenAlex

As one of the dimensions of social relationships,ethnic relationship is an important research area of relational sociology. The paper explores social barriers faced by mainland Chinese immigrants in Canada and the emergence of new racism,and analyzes changing features of ethnic relationship under new social and historical contexts.Most recent mainland Chinese immigrants are well trained and experienced professionals seeking new opportunities.However,many of them are disappointed and frustrated because they have not been able to achieve a satisfactory social and economic status in Canadian society.This paper reviews the trends of recent mainland Chinese immigration to Canada and examines obstacles that mainland Chinese immigrants face in integrating into Canadian society.Theoretical debates on the issue of occupational attainment for professional immigrants and covered racism will be addressed.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.003
Scholarly communication0.0020.001
Open science0.0010.002
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 head0.014
GPT teacher head0.297
Teacher spread0.283 · 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
Published2010
Admission routes1
Has abstractyes

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