Extracting the Past from the Present: Exotic Prizes, Empty Wilderness, and Commercial Conquest in Two Oil Company Advertisements, 1925–2012
Bibliographic record
Abstract
This article undertakes a comparative analysis of two oil company advertisements—British Petroleum’s (BP) “Persian Series”, published in London in 1925, and Cenovus Energy’s “Canadian Ideas at Work”, published across Canada in 2012. These advertisements are separated by eighty-seven years, and were produced in different countries, by different companies, and for different audiences. Yet, a closer reading of these documents reveals that they are two sides of the same coin: both narrate the extraction of oil as a great game of commercial conquest, whereby exotic prizes trapped beneath wild and empty landscapes are unlocked by oil companies. How could two advertisements that appear so radically distant feel so close? In what ways do the oil cultures of the past inflect those of the present? This article engages with such questions by critically deconstructing and comparing the imagined worlds of oil presented in BP and Cenovus’ advertisements, tracing the ways in which the resource is represented through the binaries of ancient and modern, empty and urban, wild and civilized. By configuring oil as a constellation of ideas rather than a system of things, this investigation reveals how the colonial legacies of the past continue to seep through the oil cultures of the present.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".