Writing for the (virtual) other: Bakhtinian intertextuality within online L2 writing exchanges
Bibliographic record
Abstract
In this article, I explore practical implications of the theories of language of M.M. Bakhtin within university second language writing classrooms. Specifically, I examine the presence of Bakhtinian intertextuality within online intercultural exchanges involving the use of Computer-Mediated Communication (CMC) technology. I describe a CMC exchange between university students in Canada enrolled in Spanish classes and Chilean university students of English. The students communicated using a bilingual blog, Skype, Facebook and Dropbox to meet, share their writing and engage in peer review. The data analysed include the students’ writings in English and Spanish in the blog, drafts of student essays and student comments in final interviews. Drawing on Bakhtin's theories, I used a qualitative approach to analyse the data, identifying instances of intertextuality across the students’ writing. Based on my findings, I suggest that the online exchange offered positive conditions for the sharing of language, which led to contextualised learning of new lexical items and the creation of intertextually richer student writing in the L2.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".