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Record W4247589280 · doi:10.32920/ryerson.14664552

A Voice: The Role of Child Interpreters in their Parents’ Immigration and Settlement Experience in Canada

2021· preprint· en· W4247589280 on OpenAlexaffabout
Liliana Araujo

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInterpreterImmigrationSettlement (finance)PortugueseRefugeePsychologyPolitical scienceLinguisticsBusinessLaw

Abstract

fetched live from OpenAlex

Child interpreters are children of immigrant parents who have limited proficiency in the host country’s official language(s) and serve as their parents’ interpreters. Child interpreters, therefore, become their parent’s voice throughout their settlement in the host country. This paper explores the experience of Portuguese-Canadian immigrant parents who use their children as interpreters. More specifically, it investigates the extent to which child interpreters shape and/or influence their parents’ immigration and settlement experience in Canada. As I will demonstrate, my research found that child interpreters, as their parents’ voice, play a significant role in their parents’ experience in Canada. From interpreting at the doctor’s office to interpreting during the purchase of a home, the parents in this study agree that their immigration experience would not have been the same without their children as interpreters.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.077
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0180.009
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.374
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 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

Citations1
Published2021
Admission routes2
Has abstractyes

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