Willingness to communicate in the L2 about meaningful photos: Application of the pyramid model of WTC
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
Willingness to communicate (WTC) reflects an intersection between instructed second language acquisition and learner psychology. WTC results from the coordinated interaction among complex processes that prepare second language (L2) learners to choose to use their L2 for authentic communication. Prior research has revealed considerable complexity in the influences on dynamic changes in WTC from moment-to-moment. The heuristic ‘pyramid model’ of WTC (MacIntyre et al., 1998) proposes interactions among approximately 30 different variables that may influence WTC. The present study uses the pyramid model to interpret data from three focal participants, all English as a second language (ESL) learners and international students in Canada, with varying degrees of experience in an English-speaking context. Using the idiodynamic method, all participants were recorded while describing a self-selected, personally meaningful photo. Second, participants rated their WTC in English using software that played a recording of their speech and collected continuous WTC ratings. Finally, participants were interviewed about their WTC ratings. Triangulating the data revealed how processes on multiple timescales interact during L2 communication about the photos. WTC changes as speakers’ motivations and emotions are influenced by the deep, personal relevance of the topics under discussion. Pedagogical implications for the results of this study and the use of the idiodynamic method in L2 classrooms are discussed.
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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 | 0.006 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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