Bibliographic record
Abstract
In the early 90s, evidence was found in ice cores taken from Greenland of increased levels of ancient atmospheric lead, preserved by way of the annual precipitation that eventually formed into ice sheets. Since that time, similar records of atmospheric lead pollution have been uncovered in myriad other naturally forming deposits, including lake sediments and bogs. These records of lead pollution are presumed to reflect an increase in anthropogenic atmospheric lead pollution as metal became more heavily utilized by ancient peoples. This pollution confirmed for many the size and sophistication of the Roman economy. The records exhibit a clear peak around the beginning of the first millennium, roughly the midpoint of the Roman Empire and such levels were not seen again until after the industrial revolution was well underway. This peak in atmospheric lead is thought to show the climax of Roman Industry, followed by a subsequent decline and historians and scientists have sought to use this evidence as a proxy for the ancient world economy, but more specifically for the so called rise and fall of the Roman Empire. This presentation will explore the science behind linking the atmospheric lead pollution to Roman mining activities and why lead pollution is so strongly thought to reflect the roman economy. Alternative theories as to how atmospheric lead was produced in such quantities will be explored, including, increased agriculture and wood burning. Lastly, confounding factors will be considered such as volcanism and other ancient sources, including mining in Asia Minor and Han China.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".