Expanding Conceptions of Intelligence: Lessons Learned from Refugees and Newcomers to Canada
Bibliographic record
Abstract
This qualitative study examines dimensions of emotional intelligence and, more specifically, the growth of resilience through the experiences and challenges of ten refugee and newcomer adult learners who were either children or teenagers during times of conflict and war. Despite their hardships, learners interviewed in this study showed resourcefulness, empathy, optimism, sensitivity, and an openness to starting life in a new culture. These qualities have been linked to intra and interpersonal dimensions of intelligence proposed by theorists like Howard Gardner and Robert Sternberg. Ten teachers who work with either adolescents or adults from war affected backgrounds were also interviewed. This study took place in Winnipeg, Canada—a moderately sized Canadian city, and home to increasing numbers of new immigrants and refugees from different corners of the world. The inclusive model to curriculum design based on Renzulli's (1977, 2001) enrichment triad model is suggested as one way to make learning more meaningful for both youth and adults from war affected backgrounds.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.039 | 0.023 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".