Acculturation and attitudes toward code-switching: A bidimensional framework
Bibliographic record
Abstract
AIMS AND OBJECTIVES: Code-switching, the spontaneous switching from one language to another within a single speech event, is often performed by bilinguals who have mastered a communicative competence in two languages. It is also a social strategy - using linguistic cues as a means to index social categories and group solidarity. Code-switching is, therefore, linked to attitudes, seen as a reflection of the speaker and their values and identities. Traditionally perceived negatively, attitudes toward code-switching have been shown to be acceptable in certain cases, such as in multilingual contexts. However, it has yet to be determined empirically whether attitudes toward code-switching are associated with individual social characteristics, including cultural identity and identity negotiation. Adopting the bidimensional model of acculturation, the goal of the study was to investigate the relationships among cultural identity and code-switching attitudes. Specifically, we sought to examine whether the bidimensional framework can be used to characterize and distinguish biculturals and whether such distinctions result in differences in code-switching attitudes and other related factors. DATA AND ANALYSIS: = 67) reported their language background and completed questionnaires relating to identity and code-switching. FINDINGS: The findings suggest the bidimensional model was successful in classifying biculturals versus non-biculturals and, additionally, that biculturals could be differentiated according to their strength of cultural identification, which we designated as strong biculturals, Canadian-oriented biculturals, Chinese-oriented biculturals, and weak biculturals. Findings also revealed significant group differences in code-switching attitudes and other factors, such as code-switching comfort and preference, among the bicultural subgroups. IMPLICATIONS: The study supports the hypothesis that code-switching is linked to bicultural identity. The results conclude that a more nuanced classification of biculturals is meaningful, as individual differences in cultural identification among biculturals are linked to significant differences in code-switching comfort, code-switching preference, code-switching attitudes, and multicultural attitudes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".