Affirming plural belonging: Building on students' family-based cultural and linguistic capital through multiliteracies pedagogy
Bibliographic record
Abstract
This article reports on a qualitative case study involving pedagogical innovations grounded in culturally and linguistically inclusive approaches to curriculum. In this project, kindergarten children were supported in collaboratively authoring Dual Language Identity Texts. Our findings suggest that as family and teacher conceptions of literacy were extended beyond traditional monolingual print-based literacy, home literacies associated with complex transnational and transgenerational communities of practice were legitimated through their inclusion within the school curriculum. This process invited family members to take up roles as expert partners in children's biliteracy development. Further, conditions were fostered for parents to consider and articulate their beliefs and values vis-à-vis their children's multiliterate practice and participation within these multiple, transnational communities.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.015 | 0.015 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".