Paradise Found? the Emergence of Social Capital, Place Attachment, and Civic Engagement after Disaster
Bibliographic record
Abstract
Social science research on disaster-affected communities uses social capital to explain a variety of post-disaster outcomes. A promising recent line of inquiry looks at how disasters generate new forms of social capital, and reinvigorate place-based social networks and place attachment. Using survey data collected from 407 Calgary residents affected by the catastrophic 2013 Southern Alberta Flood, as well as interview data from 40 residents, this article examines factors that contributed to residents’ expansion of their social networks during the disaster, and the impact of expanded social networks on residents’ post-disaster place attachment and civic engagement. Findings reveal that people most affected by the flood, i.e., those who experienced house flooding and longer evacuations, were most likely to make new contacts during the disaster and immediately after it. However, results also indicate that these new forms of social capital did not translate into greater place attachment, even though they did engender some post-flood civic engagement. Overall, inundation, evacuation, and displacement are predictive of lesser post-disaster place attachment. The article concludes by discussing the relevance of the findings for theory and disaster scholarship.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".