Bibliographic record
Abstract
John Ridley (2013) Cambridge University Press, New York, p. 409. $85 ISBN 978-1-107-02222-5 (Hardback). www.cambridge.org/oredeposit The book Ore Deposit Geology has a beautiful cover of banded iron formations and the hardback format is very practical and robust for reading during travels, which makes this book not a dusty addition to your shelf collection. The book is subdivided into six chapters, with glossary, index, and references. Figures, cross sections, ore and mine photographs, and geological maps are available in color online with additional resources for teachers, which is an excellent source for lecture material. The target audience is advanced undergraduate to graduate students, and the major goal of the book is to link the building blocks of geosciences to ore deposit geology. The book is also intended as reference for professionals who wish to refresh their knowledge or learn about other types of deposits. The author, John Ridley, sought balance between detail and global perspective and between scientific research and applied field ore geology. The book demonstrates progress in ore geology that has been made by collaboration among the academic research and professional communities. Instances of this collaboration are among the topics covered “text boxes,” which provide additional explanation and call attention to topics that are worthy of more detail than can be covered in the chapters. Examples of the “text box” themes are research techniques, novel research findings, and discussions of the genesis of ore deposit types. For the students and teachers, there are exercises and further reading suggestions at the end of each chapter, to permit linking different chapter themes, build discussions, and make quantitative calculations. Common expressions in economic geology that may not be part of the normal geological lexicon such as cut-off grade and prospects are marked in bold and summarized in a handy glossary at the end of the book permitting the reader unfamiliar …
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.098 | 0.066 |
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".