Second language anxiety in conversation and its relationship with speakers’ perceptions of the interaction and their social networks
Bibliographic record
Abstract
Abstract Second language (L2) researchers have long acknowledged the role of language anxiety in communication processes, such that learners with greater language anxiety tend to be less willing to engage in communication. However, little research has explored links between L2 speakers’ perceptions of conversation and dynamic measures of anxiety. Therefore, this study measured 60 L2 English speakers’ galvanic skin response (a physiological index of anxiety) during conversation. After the conversation, speakers evaluated themselves and their partner in terms of speech fluency and comprehensibility, engagement, and anxiety, and responded to trait-anxiety and social network questionnaires. Correlational analyses explored relationships between speakers’ trait-anxiety, social network characteristics, self- and peer-perceptions and five levels of physiological response during conversation. Findings revealed that high arousal during interaction was related to speakers’ negative self-perceptions of speech fluency and negative perceptions of their partner’s engagement. Implications are discussed regarding state-anxiety as triggered by partner- or task-specific experiences.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".