Chapter 1. A Poison Runs Through It: The Elk River Chemical Spill in West Virginia
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
In our culture we tend to view disasters as isolated, exceptional events.We need to instead view them as connected to one another along various social fault lines and as a direct product of socioeconomic processes that transcend traditional boundaries of time and space.By placing disasters back into the dynamic fi eld of social processes and translocal boundaries, we gain a greater understanding of their origins.Like the accounts of chemical contamination in other chemical corridors around the nation, such as the notorious Cancer Alley in Louisiana, the strip along the Gulf Coast of Texas, the chemical corridor in New England (a legacy of the Industrial Revolution), the chemical corridor in western New York and Ontario, Canada (stretching originally from the Niagara Falls area to the Great Lakes on both sides of the international border), as well as in other areas of the country including Silicon Valley, the Elk River chemical spill was not an isolated event bound by space and time.Rather, it was the manifestation of historical processes shaped by economic and political forces from as far away as India, France, Germany, Washington, DC, Tennessee, Michigan, and Atlanta, Georgia (Button ).Thus, the spill in the Elk River serves as a classic example of how disasters are unfolding processes contextualized deep into the past and richly confi gured in the present.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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