Unifying Prospects: Tinting Geological Maps in Nineteenth-Century Britain
Bibliographic record
Abstract
Geologically interested savants of the late eighteenth and early nineteenth centuries described three-dimensional spatial relationships through the visual language of maps and sections of the Earth. At this time, there was a debate whether colour or line should feature in mapping our strata. Colour was an identifying characteristic of Wernerian mineralogy, but the exact manner in which colour should be employed in representing a mineralogical landscape remained controversial. According to the engineer and geologist William Smith (1769–1839), words or symbols, engraved on a map, marred a visual simplicity that accommodated an immediate understanding of the area represented. Colour enabled a quick and rational study of the countryside so that the savant instantly visualized the logic of the landscape. André-Jean-Marie Brochant de Villiers (1792–1857), professor of geology and mineralogy at École des Mines, argued differently. In a letter to Thomas Webster (1773–1844), he remarked on the difficulty of correlating colours in the key with those of strata when studying Greenough's Map of England and Wales (1819). By examining techniques of representation and the use of colour, this paper discusses the importance of aesthetics in the depiction of geological landscape.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".