Responding to the settlement needs of newcomers to Canada: the role of community organizations in the Greater Toronto area
Bibliographic record
Abstract
This study analyzes the role of grassroots organizations in the Greater Toronto Area who support newcomers to Canada. A qualitative thematic analysis was used, with staff from three grassroots organizations and two key informants participating. The study aims, first, to gather practical knowledge from these organizations about the actions needed to improve settlement outcomes for newcomers. Secondly, it seeks to learn what challenges grassroots organizations face in continuing and expanding their services, and how they can be supported in their work. The organizations of focus do not provide direct, government-funded settlement services, but work towards goals of long-term immigrant success and integration. Findings included the need for more responsive and culturally-relevant programming among settlement organizations, the challenges with attaining funding, and the importance of partnerships among related institutions. These actors have valuable insights on newcomers’ current settlement needs and can make important knowledge contributions to the settlement sector. Key words: immigrants; settlement and integration; public services; grassroots organizations; Canada
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".