Reading the public comment : the keystone XL pipeline and future of environmental writing
Bibliographic record
Abstract
In the lead up to the 2011 official U.S. State Department decision on the proposed Keystone XL pipeline--running from the Alberta, Canada Tar Sands to the Gulf of Mexico--the Department held nine public meetings in Fall 2011 in the six U.S. states through which the proposed Keystone XL pipeline project would pass (the Department rejected the proposal; however, a new proposal is under consideration as of this writing). The transcripts of these public meetings are publicly accessible.\nUnderstanding the pipeline as a project of trans-national trade and the global circulation of petrochemicals--including global emissions of carbon dioxide--this paper hones in on one region within one U.S. state: the Nebraskan Sandhills, a cattle ranching region of grass-stabilized sand dunes and inter-dunal valleys stretching 20,000-square miles across the north-central part of the state, under which rests a vast hydrological network, including the largest freshwater aquifer in the world - the Ogallala Aquifer.\nThis essay argues that we can read the Public Comments as a form of poetic expression, paying attention to the ways the State Department transcription process formatted the oral testimonies into an "official" and sanctioned public document -- instituting line-breaks and other syntactical procedures. Using the tools of literary-critical analysis, this paper makes a case that we can read the Comments as a form of documentary poetry - in the tradition of such American modernist poets as Charles Reznikoff, Muriel Rukeyser, and George Oppen - that explore ecological questions while experimenting with lyric structures. The Comments reveal competing environmental stakeholders' stances - on such topics as Prairie systems ecology and the neoliberal economics of private-public capital markets. In doing so, they subsequently express citizens' various understandings of themselves in relation to landscape, ecology, technology, and geo-politics.
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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 | 0.007 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.022 | 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 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".