Situated willingness to communicate in an L2: Interplay of individual characteristics and context
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.
Bibliographic record
Abstract
Recently, situated willingness to communicate (WTC) has received increasing research attention in addition to traditional quantitative studies of trait-like WTC. This article is an addition to the former but unique in two ways. First, it investigates both trait and state WTC in a classroom context and explores ways to combine the two to reach a fuller understanding of why second language (L2) learners choose (or avoid) communication at given moments. Second, it investigates the communication behavior of individuals and of the group they constitute as nested systems, with the group as context for individual performance. An interventional study was conducted in a class for English as a foreign language (EFL) with 21 students in a Japanese university. During discussion sessions in English over a semester in which Initiation–Response–Feedback (IRF) patterns were avoided to encourage students to initiate communication, qualitative data based on observations, student self-reflections, and interviews and scale-based data on trait anxiety and WTC were collected. The analyses, which focused on three selected participants, revealed how differences in the frequency of self-initiated turns emerged through the interplay of enduring characteristics, including personality and proficiency, and contextual influences such as other students’ reactions and group-level talk–silence patterns.
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 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 | 0.004 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it