The Role of Nonprofit Sector Networks as Mechanisms for Immigrant Political Participation
Bibliographic record
Abstract
Issues of immigrant political incorporation and transnational politics have drawn increased interest among migration scholars. This paper contributes to debates in this field by examining the role of networks, partnerships and collaborations of immigrant community organizations as mechanisms for immigrant political participation both locally and transnationally. These issues are addressed through an ethnographic study of the Hispanic Development Council, an umbrella advocacy organization representing settlement agencies serving Latin American immigrants in Toronto, Canada. Analysis of HDC’s three sets of networks (at the community, city and transnational levels) from a geographic and relational approach demonstrates the potentials and limits of nonprofit sector partnerships as mechanisms and concrete spaces for immigrant mobilization, empowerment, and social action in a context of neoliberal governance. It is argued that a combination of partnerships with a range of both state and non-state actors and at multiple scales can be significant in enabling nonprofit organizations to advance the interests of immigrant, minority and disadvantaged communities.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".