Making and Mastering Violent Environments: Following the Infrastructures of Accumulation in Coastal Louisiana
Bibliographic record
Abstract
Abstract Louisiana’s coastal wetlands have been disappearing at an alarming rate over the past several decades, with the greatest harm experienced by vulnerable populations (poor and racialised residents). It was not until 2005 that the state legislature responded with a much‐lauded Master Plan tasked with integrating the construction of new flood control infrastructure with wetland restoration. Seeking to unsettle this initiative, we develop a historical‐geographical materialist approach to follow the entanglements between infrastructural production and capital accumulation in Louisiana over the past several hundred years. In so doing, we present a two‐fold argument: that the making and mastering infrastructural violence has always been part of the historical unfolding of the socio‐spatial dynamics of capitalism; and that infrastructural development has played an integral role in this duality at every historical turn. The capitalist state, at both the federal and state levels, has played a vital role in producing and controlling this violence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".