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Record W2490782552 · doi:10.1075/sibil.32.06sak

Balancing L1 maintenance and L2 learning

2006· book-chapter· en· W2490782552 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueStudies in bilingualism · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsHonorificVitalityImmigrationCohesion (chemistry)SociologyOral historyLinguisticsGender studiesSocial psychologyPsychologyPolitical scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

This chapter examines reasons for first language (L1) maintenance among Japanese immigrant families residing in Toronto, Canada, by conducting life history research (Cole & Knowles, 2001). The data are then analyzed using activity theory (Engeström, 1999). The findings indicate that L1 is viewed as a vehicle for establishing and retaining strong family cohesion while second language (L2) is seen as indispensable socio-economic capital (Bourdieu, 1991). As L1 is predominantly used orally at home, oral L1 development is nurtured while the written forms and honorific discourses are not actively used and enforced by some parents. This chapter explains how bilinguality among immigrant families often disappears after two generations as the language of intimacy is quickly replaced by L2. The chapter calls for a more collaborative and inclusive approach to assure ethnolinguistic vitality and continuity.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.102
GPT teacher head0.467
Teacher spread0.365 · 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