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Record W3048531995 · doi:10.1177/0002764220938112

Considering Cumulative Social Effects of Technological Hazards and Disasters

2020· article· en· W3048531995 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAmerican Behavioral Scientist · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSociocultural evolutionGeographyEnvironmental planningEnvironmental resource managementPolitical scienceSociologyEnvironmental science

Abstract

fetched live from OpenAlex

This article describes research designs utilized to study cumulative sociocultural and psychosocial effects of technological hazards and disasters. We apply these designs to two cases: (a) the Exxon Valdez disaster with a focus on Cordova, Alaska, and (b) the Enbridge Northern Gateway Pipeline project with a focus on the Gitga’at First Nation in Hartley Bay, British Columbia, Canada. The Exxon Valdez oil spill began in 1989 with the grounding of the supertanker on Bligh Reef in Prince William Sound, Alaska. Fisheries collapsed, key species failed to recover, and litigation languished for 19 years, creating an accumulation of impacts from the initial event. The Gitga’at First Nation serves as a case for examining cumulative effects of energy development, specifically the Enbridge Northern Gateway Pipeline project proposed in 2010. Hartley Bay’s sociocultural and psychosocial well-being are under threat from these and other ongoing development activities; they have also endured centuries of government-led subjugation. In studying each of these communities, we used mixed methods approaches that combined document review, observations, interviews, and surveys. Based on our experiences, we contend that the most effective way to examine cumulative social impacts is to employ concepts and theories drawn from existing research to support guidelines, frameworks, and methods.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.999

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 studies0.0000.004
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 head0.041
GPT teacher head0.364
Teacher spread0.323 · 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