Is It Time for a Sixth Dimension of Multicultural Education?: Resistance and Praxis in Challenging Times
Bibliographic record
Abstract
The impact of the election of a new U.S. president and his far right ideology and agenda has reverberated across the entire world. This new reality calls for all critical equity-seeking educators; multicultural, social justice, culturally responsive, and others to be reflective and engage in deep thinking on ways to respond. Within a framework of advocacy and resistance, drawing on lessons of the past, my own experiences and research, this article offers some practical suggestions that others hopefully can build on. It seeks to connect a critical multicultural education framework to identifiable practices in schools and communities that challenges neoliberal approaches to education; xenophobia, racism, and other forms of structural oppression; argues that the actions and practices of multicultural educators must be explicit and generative in ways that make theory usable.
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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 | 0.018 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.030 | 0.083 |
| Scholarly communication | 0.035 | 0.028 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.009 | 0.020 |
| Insufficient payload (model declined to judge) | 0.005 | 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".