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Record W4389631757 · doi:10.1017/sus.2023.23

Attitudes toward water resilience and potential for improvement

2023· article· en· W4389631757 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobal Sustainability · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsBrock University
FundersCanada Research Chairs
KeywordsTransformative learningResilience (materials science)VignettePerspective (graphical)AnthropoceneClimate changeSociologyEnvironmental resource managementPolitical scienceEnvironmental ethicsPsychologySocial psychologyEnvironmental scienceEcologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract Non-technical summary There is a global water crisis, brought on by human actions. The ways we make decisions about water must transform to solve it. We focused on the attitudes that people in society hold toward water to understand how close or far away we are from a broadly accepted worldview that supports this transformation (what we call ‘water resilience’). We found that, across six countries in the Global South and North, attitudes showed moderate support for water resilience. Many people also showed potential to increase their support. Technical summary Water in the Anthropocene is threatened. Water governance aligned with the complex, dynamic, and uncertain nature of social–ecological systems (a ‘water resilience’ paradigm) is needed, and requires transformative change. We queried the potential for transformative change from the perspective that societal worldviews/paradigms offer an important leverage point for system change. Our study aimed to identify attitudes about water resilience and the extent to which there was potential for greater endorsement of water resilience. We surveyed individuals in six countries using vignettes to determine their level of water resilience endorsement ( n = 2649). Overall water resilience endorsement was moderate ( M = 2.86 out of 4). In some countries, a vignette related to a personally relevant water issue resulted in higher water resilience endorsement. More than half of the respondents held the potential for greater water resilience endorsement. Those with the greatest potential were younger, had children, considered religion more important, were more likely to live in urban areas, and lived in the same area for 10+ years. These findings provide guidance how to engage with the public (e.g. age-specific or parent-focused framing) to potentially increase societal water resilience endorsement. Social media summary General public in six countries moderately supports water resilience to address the water crisis, with room to improve.

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 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)0.001
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 score0.063
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.274
Teacher spread0.267 · 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