Sinking to the Bottom and Coming Back up Again: An Encounter with <i>Critical Ecologies: The Frankfurt School and Contemporary Environmental Crises</i>, Andrew Biro, Ed.
Bibliographic record
Abstract
On April 20, 2010, a blow-out in BP's Macondo oil well 5000 feet below the surface of the Gulf of Mexico destroyed the off-shore oil rig Deepwater Horizon and killed 11 rig workers.Two days after the explosion the rig-rented to BP for upwards of a million dollars a day by the corporation Transocean-collapsed into the gulf.The well, whose oil reservoir was an unbelievable 13,000 feet under the sea floor (nearly 4 km), spewed oil for three months until the well was capped in mid-July.What was remarkable about this disaster was its unprecedented mediation.Mother Nature may have been fighting back, as one oil worker claimed, but Mother Nature did not put a camera 5000 feet below the surface at the bottom of the ocean, providing live feed of the gush.Although these images galvanized both public and BP response (the nonstop feed on the net and the footage was broadcast widely on mainstream television networks like CNN), once the well was sealed and the camera went black the damage did not stop.As BP itself claimed, 20 percent of the oil, some 650 million litres, was unaccounted for.Writing in response to the disaster, Peter Galison and Caroline Jones suggest that we move our focus away from the images of the disaster, and "take what's out of sight, and keep it well in mind" (Galison and Jones, "Unknown Quantities").I want to take their conclusion as a guiding frame for this
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.037 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".