Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
List of Contributors. Preface to the Second Edition. Preface to the First Edition. Units, Abbreviations, and Terminology. Part 1: Principles. 1. Ore, Mineral Economics, and Mineral Exploration Charles J. Moon and Anthony M. Evans. 2. The Mineralogy of Economic Deposits Anthony M. Evans. 3. Mineral Deposit Geology and Models Anthony M. Evans and Charles J. Moon. 4. Reconnaissance Exploration Charles J. Moon and Michael K.G. Whateley. 5. From Prospect to Prefeasibility Charles J. Moon and Michael K.G. Whateley. 6. Remote Sensing Michael K.G. Whateley. 7. Geophysical Methods John Milsom. 8. Exploration Geochemistry Charles J. Moon. 9. Mineral Exploration Data Charles J. Moon and Michael K.G. Whateley. 10. Evaluation Techniques Michael K.G. Whateley and Barry C.Scott. 11. Project Evaluation Barry C.Scott and Michael K.G. Whateley. Part 2: Case Studies. 12. Cliffe Hill Quarry, Leicestershire - Development of Aggregate Reserves Michael K.G. Whateley and William L. Barrett. 13. Soma Lignite Basin, Turkey Michael K.G. Whateley. 14. Witwatersrand Conglomerate Gold - West Rand Charles J. Moon and Michael K.G. Whateley. 15. A Volcanic-Associated Massive Sulfide Deposit - Kidd Creek, Ontario Anthony M. Evans and Charles J. Moon. 16. Disseminated Precious Metals - Trinity Mine, Nevada Michael K.G. Whateley, Timothy Bell and Charles J. Moon. 17. Diamond Exploration - Ekati and Diavik Mines, Canada Charles J. Moon. Internet Links. References. Index
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it