"The Insanities of an Exalted Imagination": The Troubled First Geological Survey of Pennsylvania
Bibliographic record
Abstract
THE SECOND QUARTER OF THE NINETEENTH CENTURY witnessed a burgeoning demand for basic geological knowledge in the United States. Perhaps nowhere was this more true than in Pennsylvania, possessor of the largest coal and iron deposits in the eastern states. The nascent academic and scientific geology community claimed a special role in this endeavor. If knowledge is power, so also is wealth, contended the geologists, and no matter how basic or descriptive the research, the commonwealth would ultimately be greatly enriched by their efforts.1 In contrast, capitalists did not pause to await the results of scientific investigation in their haste to assemble an industrial empire, relying instead on common sense, practical experience, and mechanical innova tion. In this paper I trace the first geological survey of Pennsylvania, led by University of Pennsylvania professor Henry Darwin Rogers, com menced in 1836 for a five-year term, but not officially completed until 1858. I emphasize the broader frameworks of commerce, politics, and scientific thought that defined and shaped the survey, rather than its specific geological findings. Indeed, these findings were widely consid ered to be of marginal scientific and economic value even in their time.2 In the early 1830s, Tennessee and Massachusetts became the first states to authorize comprehensive statewide geological surveys. By the end of the decade, fourteen other states had followed suit, Pennsylvania
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".