Diversity, Growth, and Understanding: School Responses to Immigration in Rural New Brunswick
Bibliographic record
Abstract
The province of New Brunswick is growing its population through immigration and retention strategies of newcomers to grow and stabilize its economy. Many communities, traditionally unaccustomed to such growth, are now experiencing a rapid shift in their ethnocultural populations. This report is based on a case study research conducted in three rural New Brunswick schools in three closely connected communities. Each school is confronting their own issues with the shift in their student demographics, but all share common strengths and challenges. The researchers identified four main intersecting themes, each connected to a sub-theme. They found that: 1). Newcomer students are striving hard to learn and live in an English culture; 2). Newcomer students are working to belong in their school through finding Canadian-born friends and allies; 3). Educators and newcomer students are mindful that deficit thinking hinders language and verbal communication; and 4). Stereotypical perceptions about new immigrants taking jobs away from New Brunswickers are pervasive and consistent in the schools and communities that were studied. As more newcomers arrive in the province, the researchers advocate that educators and school leaders need more knowledge and support for working with newcomer students and families. Further, deeper conversations about stereotyping and racism will need to occur to effectively eradicate the negative perceptions about immigrants and immigration in the province.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".