An Exploration of Narrative Inquiry into Multiculturalism in Education: Reflecting on Two Decades of Research in an Inner-City Canadian Community School
Bibliographic record
Abstract
In this article we explore the connection between multicultural education and narrative inquiry. We trace the history of multiculturalism as a form of public discourse in Canadian social life. With this as background we consider life in an inner-city Canadian school as a microcosm of Canadian social life more generally. Following the ebb and flow of 20 years of narrative inquiry in this Canadian inner-city school, we realize that this inquiry, though defined in various terms, is ultimately a study of multicultural life. We argue that an understanding of multicultural life as a democratic life process is central to an understanding of the social purposes of multiculturalism. We believe that multicultural education and narrative inquiry have the potential for profoundly productive links in the pursuit of democratic life. We conclude by puzzling over the meaning of multicultural inquiry and of the significance of cross-cultural studies for understanding multicultural life.
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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 | 0.019 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.065 | 0.060 |
| Scholarly communication | 0.022 | 0.012 |
| Open science | 0.005 | 0.016 |
| Research integrity | 0.004 | 0.008 |
| 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".