Collaborative Writing in a Third Language: How Writers Use and View Their Plurilingual Repertoire During Collaborative Writing Tasks
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
Recent years have witnessed major development in plurilingual pedagogies which support the use of learners’ repertoire of languages in language learning contexts (Payant & Galante, 2022; Piccardo, 2013). However, little research has been undertaken to examine adult plurilingual learners’ perceptions towards the use of their languages during authentic collaborative writing tasks and contrasted these views with their actual behaviours. In this case study, six plurilingual adult learners of English in a Canadian university with three unique L1s (Romanian, Russian, Spanish) completed two collaborative writing tasks on two separate occasions. Each dyad shared the same linguistic profiles and were encouraged to draw on their entire repertoire to complete the tasks. Semi-structured interview data shows differing levels of openness towards L1 and L2 (French) use during language-learning writing tasks. The analysis of the interaction confirms multiple uses for the L1; however, the L2 was seldom observed during interactions. The findings are discussed from a plurilingual lens and pedagogical implications 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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