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Record W2282324684 · doi:10.14288/1.0091609

Issues and challenges facing immigrant children as portrayed in children’s literature

2009· article· en· W2282324684 on OpenAlexaboutno aff
Claire Irene McGuire

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPolitical scienceSociologyGender studiesLaw

Abstract

fetched live from OpenAlex

Canada is a country built on immigration and it continues to grow with the arrival of new immigrants from many lands. Children, who arrive as immigrants, experience many challenges that the citizens of the host country are unaware of or fail to recognize. In the analysis of informational accounts, the challenges faced by immigrant children fall into six major categories: language barriers and communication difficulties, maintaining ethnic culture, culture shock, intergenerational conflict, uprooting and separation issues, and prejudice and racism. These challenges having been determined, fictional accounts of the newcomers' experiences were analyzed to determine the authenticity of the portrayal of these challenges. It was found that characters experienced the isolation resulting from being unable to communicate in the host country's language. Loneliness due to uprooting was experienced by all the protagonists and the importance of memories and maintaining cultural traditions concerned most newcomers. Immigrant children in these narratives suffered from bullying and prejudice as well as conflicts within the family because of clashes between heritage culture and the culture of the host country. Canadian books do present these fictional accounts with empathy and realism; although the quantity of titles is small, the quality is certainly high!

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)0.000
metaresearch head score (Gemma)0.000
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 score0.948
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.006
GPT teacher head0.169
Teacher spread0.163 · 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
Published2009
Admission routes1
Has abstractyes

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