Berea sandstone: A heritage stone of international significance from Ohio, USA
Bibliographic record
Abstract
Abstract Berea sandstone, a potential Global Heritage Stone Resource, has been one of the most widely used sandstones in North America. This Paleozoic sandstone, quarried for more than 200 years in Ohio, has been used across much of the continent. Thousands of commercial, residential, ecclesiastical, government and other structures have been built with Berea sandstone, including Thomas Worthington's mansion in Chillicothe, Ohio, the Michigan Capitol in Lansing, Michigan, the Carnegie Library and Natural History Museum Building in Pittsburgh, Pennsylvania, and parts of the Parliament buildings in Canada. Grindstones made from Berea sandstone were shipped throughout North America, as well as to the Caribbean, South America, Europe and Asia. The stone is celebrated in a number of locations, notably Berea and Amherst, where quarries have been important historical sources of this stone. It has been known by a number of different geological and commercial names, including Berea grit and Amherst stone, complicating its identification from historical sources. Stone from the most productive quarries, however, was known to be homogeneous and can be identified by its quartz–arenite to sublithic–arenite composition, its fine to medium sand (125–350 µm) grain size and iron-cement spots. Berea sandstone continues to be quarried today in Erie and Lorain counties.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.044 | 0.004 |
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".