Infrared Spectroscopy in Geochemistry, Exploration Geochemistry, and Remote Sensing.: PENELOPE KING, MICHAEL RAMSEY, AND GREGG SWAYZE, EDITORS. Mineralogical Association of Canada, Short Course Series Volume 33. 2004. 284 Pp. ISBN 0-921294-33-6. Price $40.
Bibliographic record
Abstract
This 284-page-long volume, including 20 color plates and an index, is a collection of invited papers that originated from a short course on infrared spectroscopy for geoscientists organized by the Mineralogical Association of Canada. As outlined in the preface of the volume, the main objective of the short course was to update geoscientists on advances in infrared technology being developed in the laboratory through to satellite-based systems, with particular emphasis on measurement and mapping of mineral composition for more effective ore deposit exploration, as well as for environmental monitoring and assessment of natural and anthropogenic processes. Such a volume would, in theory, be of interest to readers of Economic Geology , particularly those interested in understanding how a new generation of proximal and remote spectral-sensing technologies can be used to measure and target prospective economic mineralization. The book essentially aims to …
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 0.034 |
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".