Considering Cumulative Social Effects of Technological Hazards and Disasters
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it