Embedding and Sustaining Equitable Practices in Teachers’ Everyday Work: A Framework for Critical Action
Bibliographic record
Abstract
Diverse student populations are now one of the distinctive features of schools in North America. This changing demographic reality in schools places equity education that includes the lived experiences of diverse students at the centre of the teaching and learning process. However, research continues to show that despite the efforts and good work of teachers, huge gaps persist in the educational achievement and outcomes of Aboriginal students, students of colour, and poor children. Based on research conducted with teachers in Southern Ontario, Canada, grounded in critical pedagogy and culturally relevant teaching, this article examines the complexities of equity education and ways to better serve the needs of diverse students. Drawing from the author’s experiences as a classroom teacher, administrator, and teacher educator, the article posits a framework for critical action on ways that teachers can embed equitable practices in their teaching.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.055 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.021 | 0.215 |
| Scholarly communication | 0.031 | 0.020 |
| Open science | 0.007 | 0.019 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.002 | 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".