Teaching for intercultural understanding – to what extent do curriculum documents encourage transformative intercultural experiences?
Bibliographic record
Abstract
The United Nations Sustainable Development Goal 4 (SDG4) indicates that education for global citizenship and appreciation of cultural diversity should be embedded at all levels of curricula. In this paper, we share findings from an analysis of curriculum documents in Victoria, Australia and Québec, Canada that identified learning related to this goal and explored the potential depth of intercultural understanding (ICU) this may lead to. While we view ICU as linking directly to the SDG4 aim of developing learners’ global citizenship, we also investigated the extent to which ICU transcends the appreciation of cultural diversity or ‘other’ cultures. Our findings suggest that in both contexts, ICU could be categorised into three key dimensions: a focus on similarities and differences, a focus on reflection and self, and a focus on transformation. In addition, there was little evidence of interculturality beyond the cultures of immigrants. Given the history in both contexts, we identify that interculturality must also involve more inclusion of Indigenous cultures within the curriculum for all students to ensure transformative intercultural outcomes are maximised.
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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 | 0.009 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".