Planning with multicultural diversity in small cities in Canada: a case study of immigrant lived-experiences in Brooks, Alberta
Bibliographic record
Abstract
<p>Immigration, ethnic settlement, and global migration are processes which shape diversity in Canadian cities. There is rich literature vis-à-vis immigrant settlement in large, gateway cities. Less is known about the lived-experiences of visible-minority immigrants in small cities and the implications of planning with diversity in those contexts. This research explored the challenges and opportunities of visible-minority immigrants settling in a small city from a place-based and integration perspective and explored the role of municipalities in attracting and retaining immigrants in small cities. Case study research of Brooks, Alberta was conducted involving interviews with visible-minority immigrants, a municipal official, and a local immigration organization staff. This study had reinforced the primary reason of immigrant settlement in small cities were based on economic and family-related factors, but highlight the role of the municipality in retaining immigrants in small cities is to cultivate an inclusive community by acclaiming diversity through a place-based approach.</p> <p><br></p> <p>Key Words: Multicultural Planning, Municipal Policy Diversity, Immigrant Lived-Experiences, Small Cities, Attract and Retain Immigrants, Visible-Minority Immigrants</p>
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".