Expanding Conceptions of Intelligence: Lessons Learned from Refugees and Newcomers to Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it