Bibliographic record
Abstract
Forum - Results of a poll that sought to understand people’s “oil awareness.” The Oil Dilemma Oil is undoubtedly a lynchpin of the world’s economy. Oil is the world’s most widely used source of energy, accounting for 40% of global energy consumption and an astonishing 96% of the energy used in the transportation sector. Yet even if we were to remove all gasoline- and diesel-powered vehicles from the roads, we would still be dependent on this hydrocarbon. One of the first applications of oil, dating back thousands of years, was as a medicine. Nowadays the most surprising uses include chewing gum, lipstick, and aspirin. Every barrel of crude oil holds remarkable potential: It helps keep us warm, helps keep us on the go, and provides the building blocks for countless products we take for granted. Plastics are a great example of this, with water bottles a notable illustration. Although there is a growing interest in the use of biomass as a feedstock, fossil fuels today form 99% of plastics’ raw material base.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".