Does time heal all wounds? Restoring place attachment in Halifax's Point Pleasant Park after Hurricane Juan
Bibliographic record
Abstract
On September 29, 2003, Hurricane Juan profoundly altered Halifax's Point Pleasant Park, resulting in feelings of solastalgia (the distress caused by perceived negative changes to a beloved place) as park users mourned the loss of a place that held great significance for the city. Starting in 2008, over 100,000 trees have been planted in order to restore the original Acadian mixed forest to this landscape. Drawing on scholarly literature focused on place attachment and disaster recovery, this paper utilizes interviews (n = 11) and online surveys (n = 79) to determine whether long‐term park users have re‐established positive place attachments in conjunction with the park's restoration. Our results indicate that participants have largely overcome their solastalgic outlook and restored meaningful place attachments to the park. Unexpectedly, our results also suggest that long‐term participants have current place attachments that appear stronger than the place attachments expressed by participating short‐term users, who never experienced the traumatic impact of Hurricane Juan on Point Pleasant Park.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".