Cracking Appalachia: A Political-Industrial Ecology Perspective
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 paper presents a political-industrial ecology (PIE) analysis of a petrochemical ethane cracker plant located above the Marcellus Shale Basin near Pittsburgh, Pennsylvania. The analysis is motivated by community concerns that the cracker is more than just a plant and that current regulatory practices render the broader petrochemical ecosystem within which the plant exists largely unknowable. By integrating theory and methods from urban political ecology and Vienna School social metabolism, I present a metabolic tour of the petrochemical ecosystem to better render it visible and to situate it within the evolving global petrochemical economy. Within Pennsylvania, the plant exists in an ecosystem of over 20,000 energy infrastructures whose exact numbers and locations are largely unknown due to regulatory practices and exemptions unique to the energy industry. Because of this infrastructure buildout, the Marcellus Shale Basin is now interconnected to the US Gulf Coast, Canada, and Europe, resulting in more globally integrated, separate markets for natural gas and petrochemicals. As reconceptualized through PIE, this paper demonstrates how metabolism, a resurgent concept within various social and engineering science disciplines, can be a method for advancing community-engaged research by simultaneously embedding industrial ecosystems within place and assessing their broader socioecological significance.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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