Bibliographic record
Abstract
Book Review| February 01, 2008 Investigation, Remediation and Protection of Land Resources Richard E. Jackson Richard E. Jackson 1INTERA Engineering Ltd., Heidelberg, Ontario, N0B 1Y0, Canada Search for other works by this author on: GSW Google Scholar Environmental & Engineering Geoscience (2008) 14 (1): 54–55. https://doi.org/10.2113/gseegeosci.14.1.54 Article history first online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share MailTo Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Richard E. Jackson; Investigation, Remediation and Protection of Land Resources. Environmental & Engineering Geoscience 2008;; 14 (1): 54–55. doi: https://doi.org/10.2113/gseegeosci.14.1.54 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search The title of this most interesting book reflects the evolution of the practice of engineering geology to the subject matter of this journal, Environmental and Engineering Geoscience. Dieter Genske has taught at a number of European universities and is the author of the 2005 Springer textbook Ingenieurgeologie: Grundlagen und Anwendung (Engineering Geology: Fundamentals & Applications). From the extensive reference list at the end of the book, it is clear that Dr. Genske has worked extensively during this decade on the topic of this book—the characterization and rehabilitation of contaminated and disused urban landscapes. Because we in North... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.023 |
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".