Local Immigration Partnerships: Building Welcoming and Inclusive Communities through Multi-Level Governance
Bibliographic record
Abstract
Community Connections is a key component of Citizenship and Immigration Canada’s (CIC’s) modernized Settlement Program and an essential thread that influences all aspects of integration. The work of Community Connections is twofold: foster active and meaningful connections between newcomers and host communities, and enable newcomers to develop a sense of belonging while helping communities better understand the interests and potential contributions of newcomers. Local Immigration Partnerships (LIPs) embody the evolving work of Community Connections. Through LIPs, CIC supports a new form of locally based collaboration among multiple stakeholders. These partnerships enable communities to develop strategic plans to address the opportunities and challenges associated with fostering inclusive and responsive environments. They also signify an innovation in multi-level collaborative governance – encouraging co-operation among federal, provincial, and municipal governments. Local Immigration Partnerships play an essential role in organizing various groups to develop coordinated strategies and target mainstream institutions, with the ultimate goal of factoring
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".