Second Language Socialization in Higher Education: An Exploratory Case Study
Bibliographic record
Abstract
Utilizing second language (L2) socialization as a theoretical framework, this study explores international students' performance of speech acts in academic and social settings, and individual and contextual factors underlying their L2 socialization experiences. Data were gathered through a 20-item online discourse completion test (DCT) and semi-structured interviews. Situational prompts in the DCT involved instances such as requesting extra time for assignment completion and negotiating roles in group work. While mostly grammatically correct, the DCT responses were marked by absence of typical speech acts, such as expressions of regret, excuses, and apologies. Interview data revealed a relatively low level of engagement with the target speech community. Findings suggest that present models of language support, which focus almost exclusively on development of academic language and literacy, largely overlook the importance of direct engagement with the target speech community. We recommend such engagement be delivered deliberately as part of the language support curriculum.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".