Navigating land use after managed retreat: decisions facing local governments in the post-buyout environment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Five years following the Quebec Spring 2019 floods in Canada, the City of Gatineau is grappling with questions on how to move forward with municipal land use plans that integrate provincial flood protection policies. This longitudinal study analyses the policy changes in the Province of Quebec’s flood management regime and assesses the post-buyout land use decision making process. Using mixed methods, we explore the evolution of buyout policies, assess the challenges in maintaining both occupied and vacant lots, and document potential post-buyout land use options that would reconcile the benefits of floodplain restoration and provide recreational spaces for the community. The results indicate the institutional alignment of provincial buyout policies and regulatory tools, such as the special intervention zone that support the relocation of residents whilst acknowledging that some areas are no longer viable and prohibiting future redevelopment. This Canadian case study illustrates a municipality that has developed a community master plan though a lack of funding and direction from senior governments continues to hinder the city’s progress indicating that flood risk management is challenging to implement without the adequate coordination of responsibility and elimination of fragmentation between different levels of government.
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.
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 | 0.001 | 0.000 |
| 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 it