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Record W2527076391 · doi:10.1177/2329496516669351

“The River Is Not the Same Anymore”: Environmental Risk and Uncertainty in the Aftermath of the High River, Alberta, Flood

2016· article· en· W2527076391 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Currents · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsMount Royal University
FundersSocial Sciences and Humanities Research Council of CanadaMount Royal University
KeywordsFlood mythWorryCall to actionEnvironmental planningAction (physics)Climate changeEnvironmental resource managementSociologyGeographyBusinessPsychologyEcology

Abstract

fetched live from OpenAlex

Even when individuals are aware of and well educated about environmental issues such as climate change, they often take little action to mitigate these problems. Yet, catastrophic events, such as disasters, have the potential to rupture or disrupt complacency toward environmental problems, forcing people to consider the potential effects of human activity on the environment as they expose how environmentally harmful practices put people at risk. This article is based on focus group interviews with 46 residents of High River, Alberta, a rural community hardest hit by the 2013 Southern Alberta flood. It examines whether and how experiencing the flood prompted residents to think about the environment or interact with it in new ways. Findings suggest that residents voice a contradiction—while they believe that preflood human activity such as deforestation, river diversion, and home building altered the environment and placed communities like their own at risk, they also argue that natural forces such as disasters are immune to human efforts to control them. Residents feel their environment is less stable and predicable since the flood, and they worry more about toxicity and associated environmental health risks. The article concludes with a discussion of the implications of these findings for environmental sociology and public policy.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.269
Teacher spread0.255 · 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