Atlantic Geology 37 “Coal Age Galapagos”: Joggins and the Lions of Nineteenth Century Geology
Bibliographic record
Abstract
The celebrated coastal section at Joggins, Nova Scotia, has played a seminal role in the development of the Earth Sciences, fi guring in the careers of such lions of Nineteenth Century science as Lyell, Dawson, Darwin, Logan, Marsh, Gesner, Agassiz, Wyman and Owen, among others. The story that unfolds is not only one of scientifi c discovery, but one of enlightening interactions between the players that brings to life these personalities, their debates and, for some, their personal agendas. The “marvellous chapter of the big volume ” of Earth’s history recorded in the sea cliffs at Joggins served as a “Coal Age Galapagos ” for Lyell, Darwin, Dawson and others, furthering their case for geological and evolutionary principles that continue to inform scientifi c and popular views today. Coincidental with Lyell’s ap-pearance on the scene, Logan undertook at Joggins one of the fi rst fi eld projects of the Geological Survey of Canada. Against the backdrop of advancing scientifi c thought and positions, a penny opera of professional one-upmanship was played out. Gesner sought reprimand of Lyell from Murchison, President of the Geological Society for misleading Nova Scotia’s geologists; Owen, who earlier coined the word “dinosaur”, beat Lyell and Dawson in naming their own discovery; while a young O.C. Marsh, presaging his intensely competitive dinosaur battles with Edward Cope, arrived at Joggins from Yale hot on Lyell and Dawson’s trail, only to be duped by a worldly traveller ready to oblige his desire for fame. Above all others, the work of Dawson in describing the fossil record and its ecological context established a lasting legacy of relevance for the Joggins cliffs. RÉSUMÉ Le célèbre secteur côtier de Joggins, en Nouvelle-Écosse, a joué un rôle majeur dans l’essor des sciences de la terre:
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".