Building intersectoral partnerships as place‐based strategy for immigrant and refugee (re)settlement: The Ottawa Local Immigration Partnership
Bibliographic record
Abstract
This paper examines the role of the Ottawa Local Immigration Partnership in the Syrian refugee resettlement in Canada's national capital following the federal government's 2015–2016 resettlement plan. Based on the findings of qualitative data collection—including semi‐structured interviews with representatives from community organizations, settlement agencies, and the City of Ottawa—two main arguments are advanced. First, while the current literature tends to portray the Canadian settlement sector as a passive victim in the face of neoliberal restructuring and austerity measures, this paper offers a more nuanced perspective by reflecting on the sector's ability to exert agency by developing initiatives and devising strategies that are rooted in the local context. Second, the case of the Ottawa Local Immigration Partnership sheds light on the significance of intersectoral networks and partnerships that extend beyond the settlement sector to build a sound approach for welcoming refugees and newcomers more generally. These findings serve to demonstrate the potential of partnerships as a place‐based settlement model that is responsive to context‐specific needs and enhances local community strengths, thus providing important lessons that can inform future immigrant and refugee (re)settlement and integration in other Canadian cities and regions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".