Deleuzian Experimentations in Canadian Immigrant Language Education: Research, Practice, and Policy
Bibliographic record
Abstract
Undertaking Deleuzean experimentations in educational research requires a transformation of what it is to do research. After describing one such becoming, this article considers the potentialities of Multiple Literacies Theory (MLT), which draws on concepts created by Deleuze and Deleuze and Guattari, for thinking differently about policy and practice in a federally-funded adult immigrant language program in Canada. A rhizoanalytic cartography of vignettes selected from a qualitative study conducted in two immigrant language classrooms focuses on teacher and student perceptions of being and becoming-Canadian in a multicultural context. Viewed through the lens of MLT, this rhizoanalysis suggests that there is much more going on in the program than its mandate to ‘orient newcomers to the Canadian way of life’ might imply. The article goes on to discuss potential lines of flight in adult immigrant language programs for the transformation of policy and practice.
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How this classification was reachedexpand
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".