A Dynamic System Approach to Willingness to Communicate: Developing an Idiodynamic Method to Capture Rapidly Changing Affect
Bibliographic record
Abstract
Willingness to communicate (WTC) can be conceptualized as changing from moment to moment, as opportunities for second-language communication arise. In this study we present an idiodynamic methodology for studying rapid changes in WTC. The methodology consists of recording responses from six young adult, female speakers to second-language communication tasks, their self-ratings of changes in WTC during those tasks, and reporting of their experience and attributions for fluctuations in WTC. The role of stable personal characteristics of the speakers is taken into account, as are observations made by an observer during the respondents’ speech. Conceptualizing WTC as a dynamic system allows for an examination of the variation in WTC over time. The results show both consistency and variation in WTC even among a relatively homogeneous sample of speakers. Searching memory for vocabulary was identified as a key process affecting WTC, though it is argued that other factors (including language anxiety) are also operating to affect WTC. After concluding that WTC can be seen as a dynamic system, limitations of the methodology and future research directions are discussed.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".