Not just ‘sunny days’: Aboriginal students connect out‐of‐school literacy resources with school literacy practices
Bibliographic record
Abstract
Abstract In this paper, I report on a school‐university collaborative research project that investigated which practices and knowledges of Canadian Aboriginal students not acknowledged in school may provide these students with access to school literacy practices. The study, which took place in a small city in Western Canada, examined ways to merge the out‐of‐school literacy resources with school literacy practices for minority language learners who struggle with academic literacies. Drawing on the third space theory, in conjunction with the concept of “funds of knowledge,” I explain how students' linguistic and cultural resources from home and community networks were utilised to reshape school literacy practices through their involvement in the Heritage Fair programme. I analyse a representative case study of Darius, a 10‐year‐old boy who explored his familial hunting practices for his Heritage Fair project. This illustrative exemplar, “Not just sunny days,” highlights the ways in which children's out‐of‐school lives can be used as a scaffold for literacy learning. In conclusion, I discuss implications for educators and researchers working to improve literacy learning for minority students by connecting school learning to children's out‐of‐school learning.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Qualitative | high |
| opus | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Qualitative | medium |
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".