Settling on Austerity: ISAs, Immigrant Communities and Neoliberal Restructuring
Bibliographic record
Abstract
Immigrant Serving Agencies (ISAs) have long been at the centre of the settlement and integration of newcomer populations in Canada. They provide a community-based approach to settlement through nonprofit organizations rooted in the communities they serve, a workforce and volunteers drawn largely from immigrant populations, and a value system and voice reflective of the client base. This has been critical to fostering the ‘warmth of the welcome’ for newcomers that has made Canadian immigrant integration so successful in an internationally comparative context. This system however is under increasing challenge from austerity and neoliberal restructuring. The pressures include funding cutbacks, loss of ISA autonomy, and a general destabilization of nonprofit service provider organizations. This paper examines the impact of the challenges of government austerity and neoliberal policy for the ISAs and immigrant communities, and considers the prospects for restoring the leadership role of ISAs in providing successful integration through appropriate settlement services.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.040 | 0.035 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".