A Need for New Relations Between the Third Sector and the State: an Examination of the Case of Immigration Settlement Services in Canada
Bibliographic record
Abstract
The purpose of this paper is to explore the need to restructure the relations between the Third Sector and the State. The case of Third Sector settlement services in Canada is examined this proposition. This paper takes the approach of a critical literature review to analyze the changing relationship between the Third Sector and the State in Canada from the early 1600’s to the contemporary era. This paper will demonstrate that the State has become restructured to follow neoliberal priorities thereby restricting settlement services and negatively impacting the integration of newcomers. The adoption of collaborative governance is proposed as a way to facilitate access to settlement programming that will support the development of partnerships, capacity-building and the sharing of best practices among settlement service providers. This paper is a call for action to Third Sector organizations and the State to begin to reconcile and strengthen their relationship to better serve newcomers to Canada.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".