Bibliographic record
Abstract
Oil is a controversial natural resource. One aspect of its controversial nature takes the form of periodic expressions of fear at the prospect of the depletion of this energy source, often referred to as Peak Oil Theory. Julian Simon was among the first to challenge the increasing scarcity scenario and argued that global oil stocks are increasing as a result of anthropogenic activity. He presented evidence that, since the 1860s, oil prices had been generally decreasing. Bjørn Lomborg set out to challenge Simon’s finding, and ultimately ended up siding with Simon, concluding that crude oil stocks are increasing and that there is no sign that the world will soon “run out” of this finite resource. This paper updates the earlier work by Simon and Lomborg to see if the trends that they documented have changed since their research was published. Updated data are presented on oil prices, stocks, and extraction rates. These updated data suggest that most of Simon and Lomborg’s findings still hold. The analysis provided in this report concludes that the depletion of oil stocks is not of utmost concern, and that continuous technological innovation allows for greater output per unit of crude oil consumed, thus essentially increasing the availability of crude oil, and giving new meaning to the term “finite” in the realm of natural resources. Of course, future alternatives are important to discuss, as issues associated with oil dependency remain relevant. But fears of running out of this resource seem to be unjustified.
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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.007 | 0.020 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".