Bibliographic record
Abstract
“Heading Offshore” situates Cold Water Oil as a timely intervention at a moment of intense uncertainty. In the wake of the social and economic upheavals prompted by the COVID-19 pandemic, countries around the world are making crucial choices about whether to seize opportunities to build greener economies or to maintain the fossil fuel status quo. The Introduction builds a case for paying particular attention in this context to the past, present, and future of offshore oil and gas production in the North Atlantic and Arctic regions–regions that are expensive to develop, ecologically fragile, and already disproportionately affected by climate change. Polack and Farquharson note that scholars have made only sporadic efforts to examine socio-cultural figurations of offshore oil and gas to date and position Cold Water Oil as an attempt to redress this gap. They also outline how the volume engages with the interdisciplines of environmental humanities, energy humanities, and critical ocean studies. The Introduction concludes with brief summaries of contributions to the volume and details their respective engagements with the oceanic territories of Canada, Norway, the UK, Russia, the US, and the Iñupiat of Alaska.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.202 | 0.102 |
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".