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Record W7133051139

Reasons for, challenges and consequences of raising a child in a second language: A case study on Anglophone parents raising their children in French

2008· dissertation· W7133051139 on OpenAlexaboutno aff
Michelle Beimers

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsRaising (metalworking)ChoseFrenchOrder (exchange)Discourse analysisQualitative research
DOInot available

Abstract

fetched live from OpenAlex

This Master's thesis focuses on a case study of Anglophone parents using French in their parenting relationship with their children in the area of Ottawa-Gatineau, with the purpose of understanding their reasons for, challenges and consequences of using their second language with their children. Data were collected from nine families, eight of whom are in linguistically mixed marriages, through semi-structured interviews and observed interactions. Results demonstrated that in most cases, participants felt that the main reason they chose to speak French first was based on their belief that Ottawa is an essentially Anglophone city; in order to become bilingual, some special efforts are required in the acquisition and practice of French. The immediate challenges, such as lack of French language support in the community, and long-term consequences, for example, improvement in the Anglophone parent's proficiency, varied from family to family.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.057
GPT teacher head0.397
Teacher spread0.340 · 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.

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
Published2008
Admission routes1
Has abstractyes

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