Bibliographic record
Abstract
Abstract Changing student demographics, globalization, and flows of people resulting in classrooms where students have variable linguistic repertoire, in combination with new technologies, has resulted in new definitions of what it means to be literate and how to teach literacy. Today, more than ever, we need frameworks for literacy teaching and learning that can withstand such shifting conditions across time, space, place, and circumstance, and thrive in challenging conditions. Critical literacy is a theoretical and practical framework that can readily take on such challenges creating spaces for literacy work that can contribute to creating a more critically informed and just world. It begins with the roots of critical literacy and the Frankfurt School from the 1920s along with the work of Paulo Freire in the late 1940s (McLaren, 1999; Morrell, 2008) and ends with new directions in the field of critical literacy including finding new ways to engage with multimodalities and new technologies, engaging with spatiality- and place-based pedagogies, and working across the curriculum in the content areas in multilingual settings. Theoretical orientations and critical literacy practices are used around the globe along with models that have been adopted in various state jurisdictions such as Ontario, in Canada, and Queensland, in Australia.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.093 | 0.025 |
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".