Community assets in the context of COVID-19: Changes in valuation and contributions to place attachment and subjective wellbeing
Bibliographic record
Abstract
The COVID-19 pandemic disrupted patterns of daily life and use of community spaces. This study was completed in a municipality in the Greater Niagara Region, Ontario, to explore people-place relationships after the onset of the COVID-19 pandemic. A greater proportion of individuals perceived the way in which they value community assets had changed since the onset of the pandemic. This was supported by pre- and post-pandemic data, which found that indoor community assets were valued less in 2021 than they were in 2019, whereas outdoor community assets were valued comparably. Two categories of community assets were found to contribute most to both place attachment and wellbeing during the COVID-19 pandemic: Waterfront/beaches and recreational trails/pathways. These findings emphasize the integral role of outdoor community assets in community member’s place attachment and subjective wellbeing, which could guide future investment and community development in the municipality.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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 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".