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Record W4407223484 · doi:10.1080/09640568.2024.2413102

Flood adaptation policy alignment with resident perceptions of resilience in Vancouver, British Columbia

2025· article· en· W4407223484 on OpenAlexafffundabout
Jacob Ventura, Greg Oulahen, Calvin Nguyen, Carrie L. Mitchell, Daniel Henstra, Jason Thistlethwaite

Bibliographic record

VenueJournal of Environmental Planning and Management · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsUniversity of WaterlooToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of CanadaMarine Environmental Observation Prediction and Response Network
KeywordsResilience (materials science)Flood mythAdaptation (eye)PerceptionGeographyPsychological resilienceClimate change adaptationEnvironmental resource managementEnvironmental planningPolitical scienceClimate changeRegional scienceArchaeologyPsychologySocial psychologyEnvironmental scienceGeologyOceanography

Abstract

fetched live from OpenAlex

Vancouver’s municipal government calls on residents to shoulder some responsibility for flood resilience by directly participating in financing and implementing adaptation measures. This study aims to understand residents’ perceptions of resilience and how it should be pursued. Through an in-person survey (n = 200) we assess how resilience is typically understood by residents and which unique conceptualization (resilience as resistance, recovery, or creative transformation) they believe should be targeted by flood policies. Resilience perspectives are analyzed alongside results of a systematic policy analysis (n = 51) to assess their alignment with flood risk management efforts currently in place in Vancouver. Findings indicate that most survey respondents feel increasing resilience is more important than reducing vulnerability, and most participants prefer resilience as creative transformation. The City’s current approach, characterized by structural protection and flood accommodation tools, does not align with residents’ dominant perceptions of resilience. This disconnect has implications for the legitimacy of the City’s flood risk governance arrangements.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.003
GPT teacher head0.218
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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