Convergences and alignments between translanguaging and critical literacies work in bilingual classrooms
Bibliographic record
Abstract
Abstract Translanguaging pedagogy, stemming from a dynamic view of bilingualism, aims to creatively mobilize students’ plural communicative repertoires for meaningful learning and destabilize hegemonic discourses about minoritized students and languages. It espouses in itself a criticality that raises awareness of the inequitable and arbitrary nature of language hierarchy, separation and marginalization for social justice purposes, a central tenet shared with critical literacy (CL) education. This paper explores the convergences and alignments between translanguaging pedagogy and CL and the affordances for critical bilingual learning when employed together. To examine the synergies between translanguaging and CL, I use Janks’ (2010) synthesis CL model to tease out their interconnections as well as their transformative potential when used jointly in bilingual classrooms. Elaborating on key literacy events from a CL project with emergent bilingual students, this paper illustrates how translanguaging opens up spaces for rigorous language and CL engagement.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.019 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".