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Record W4406675758 · doi:10.56367/oag-045-11487

Climate change, water change and the critical role of community resilience

2025· article· en· W4406675758 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.

Bibliographic record

VenueOpen Access Government · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWater-Energy-Food Nexus Studies
Canadian institutionsToronto Metropolitan UniversityMcMaster University
Fundersnot available
KeywordsClimate changeResilience (materials science)Community resilienceEnvironmental resource managementEnvironmental planningEnvironmental sciencePolitical scienceOceanographyComputer scienceGeology

Abstract

fetched live from OpenAlex

Climate change, water change and the critical role of community resilience Dr. Amanda Shankland, Dr. Carolyn Johns, and Gail Krantzberg, explore climate change resilience, water change, and the critical role of climate-ready communities. Climate change is impacting communities across the globe. For many communities, climate change manifests as water change in the form of floods, droughts, shoreline erosion, water quality degradation, water insecurity, and uncertainty. According to the United Nations, 153 countries have territory and communities within at least one of the 286 transboundary rivers, lake basins, and 592 transboundary aquifer systems (UN Water 2024). Communities worldwide are grappling with water governance challenges induced by climate change – inherently local, complex, and transboundary.

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 categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.690
Threshold uncertainty score0.999

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.014
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 head0.061
GPT teacher head0.340
Teacher spread0.278 · 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