On the matter of matter in second language education: A “mixed” review of current research
Bibliographic record
Abstract
Abstract With the increasing attention provided to sociomaterial and new materialist perspectives in second language (L2) education, this article pursues the question of what these approaches have co‐produced in the existing research. This “mixed” review combines elements of qualitative metasynthesis and diffractive literature review, drawing on traditional and new materialist methods in order to provide varied insights into the results. The data highlight new territories and insights produced by new materialist research in L2 education as well challenges, issues, and opportunities with consistency, ontoepistemological coherence, representation, terminology conventions, and the production and dissemination of new materialist scholarship in L2 education. Moreover, this article provides opportunities to engage the analysis of published scholarship, conducting new materialist research, and the diffractive review process. We offer points of departure to engage with the productive potential of pedagogies and research that sit in between conventional humanist and disruptive new materialist conceptualizations and practices.
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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 | 0.016 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.014 | 0.015 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".