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Record W2581636876 · doi:10.25777/d8xq-sm68

Bakken Bombs: A Criminological Inquiry into the Lynchburg Train Derailment

2016· article· en· W2581636876 on OpenAlex
Travis Milburn

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

VenueODU Digital Commons (Old Dominion University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsnot available
Fundersnot available
KeywordsDerailmentForensic engineeringCriminologyEngineeringAeronauticsHistoryPsychologyTrainArchaeology

Abstract

fetched live from OpenAlex

In recent years, several significant train derailments involving the transportation of crude oil have dotted the North American landscape. Each resulted in environmental and social harm to some degree which was extensive in many instances. Oil train derailments have occurred in places such as Lac-Mégantic, Canada (July 2013), Casselton, North Dakota (December 2013 and November 2014), and Mount Carbon, West Virginia (February 2015). Following derailments, communities have faced substantial environmental damage, human death and injury, and overall disruption from the explosions and subsequent oil spills that characterize these events. This project specifically examined the April 30, 2014 derailment in Lynchburg, Virginia. A CSX-operated train containing 104 oil tank cars derailed which caused 17 cars to leave the tracks; 3 of these cars plunged over the bank of the James River and became submerged. The derailment resulted in a large explosion and subsequent fire that burned for over an hour after one tank car ruptured and lost its contents. It was estimated that nearly 30,000 gallons of crude oil were spilled (NTSB 2016). Serious environmental and human health concerns resulted, particularly fears that downstream cities, including the state capitol of Richmond, would have contaminated water. Through a lens of green criminology, victimology, and securitization, this dissertation examines perceptions of criminality, victimization, and ecological harm as a result of the oil train derailment among members of the Lynchburg community. The environmental and social consequences of the Lynchburg train derailment are considered through a case study approach that is situated within the politics surrounding oil extraction and transportation within the US and Canada where dramatically expanded rail transport of oil has resulted in an influx in derailments in recent years. Interviews with 22 individuals—officials, environmentalists, witnesses, and members of the Lynchburg community—were used to examine the extent and nature of harm to the environment, community, and individuals as a result of the oil train derailment including the aftermath of the event. Official documents and media representations supplement the in-depth interviews. This case study reveals an array of victimizations and differing ideas about responsibility and criminality in the wake of the event. Security has been inserted into the realities of oil train shipment by the railroad industry which has problematized the dissemination of information about these volatile shipments to communities who experience them. Significant identities with both the James River and the railroad within the community have served to help make sense of the derailment, framed ideas about responsibility and culpability, and determined the conceptualization of the environment as a victim.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.097
GPT teacher head0.319
Teacher spread0.222 · 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