Confronting critical issues of race and the need for decolonizing education in Canada: Problematizing the implementation of culturally relevant pedagogy, a Nova Scotian story
Bibliographic record
Abstract
The purpose of this article is to confront critical issues of race and add a missing critical analysis of the attempts to implement culturally relevant pedagogy (CRP) within education in Nova Scotia and across North America. This critical analysis addresses the inequitable learning environments facing Black learners. The stories of both pre-service and in-service teachers highlight the need for educators, educational leaders, and policymakers to embed decolonizing steps to implement CRP and overcome systemic racism in education. Their accounts demonstrate that changes in policies have not led to an understanding of CRP, decolonizing, or an interruption to systemic racism. Without decolonizing steps, including giving educators the time and opportunity to decolonize their thinking, efforts to implement CRP will fail.
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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.064 | 0.036 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 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".