Civic Networks and Community Resilience in Brazil, Canada, Chile, and Cuba
Bibliographic record
Abstract
This article explores the relationship between civil society and community resilience in coastal communities in Brazil, Canada, Chile and Cuba. In understanding the role of social capital in community development, we do not feel sufficient attention has been paid to the subtle micro-dynamics of civil network structure. Using social network analysis, we explore the link between community cohesion and resilience. Attention is given to conflicting interests that characterize these communities and how they manifest themselves in civic participation and factional affiliations. We find that organizational diversity is a necessary condition for community vitality, but organizations can become captive to factional interests. The critical factors for resilience are associated with a benign side of factions (a plurality of inclusive ties) and the presence of keystone bridging agents. Each offers hidden mechanisms for neutralizing the effects of fragmentation by providing a cohesive capability which remains latent until crises call for collective action.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".