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Record W2323312540 · doi:10.2113/gseegeosci.19.2.204

Slope Engineering for Mountain Roads

2013· article· en· W2323312540 on OpenAlexaboutno aff
G. J. Hearn

Bibliographic record

VenueEnvironmental and Engineering Geoscience · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsnot available
Fundersnot available
KeywordsCitationIconDownloadLibrary scienceEngineeringWorld Wide WebGeologyComputer science

Abstract

fetched live from OpenAlex

Book Review| May 01, 2013 Slope Engineering for Mountain Roads G. J. Hearn G. J. Hearn Editor and Senior Author VanDine Geological Engineering Limited, Victoria, British Columbia V8S 3W2, Canada Search for other works by this author on: GSW Google Scholar Author and Article Information G. J. Hearn Editor and Senior Author VanDine Geological Engineering Limited, Victoria, British Columbia V8S 3W2, Canada Publisher: Association of Environmental & Engineering Geologists First Online: 02 Mar 2017 Online Issn: 1558-9161 Print Issn: 1078-7275 © 2013 Association of Environmental & Engineering Geologists Environmental & Engineering Geoscience (2013) 19 (2): 204–205. https://doi.org/10.2113/gseegeosci.19.2.204 Article history First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation G. J. Hearn; Slope Engineering for Mountain Roads. Environmental & Engineering Geoscience 2013;; 19 (2): 204–205. doi: https://doi.org/10.2113/gseegeosci.19.2.204 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 Review by: D. F. VanDine When I received Slope Engineering for Mountain Roads (Hearn, 2011) and opened it up, the first thing that dropped out was an erratum sheet for Figure C7.31, entitled “Some options for debris flow control and fan crossings.” It turns out that the original figure in the book was not incorrect, but some of the lines on the figure were shown thicker than intended. Immediately, I had a good feeling about this book: first because one of my fields of specialty is debris flow mitigation, and second because the publisher cared enough about the... 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.108
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1080.059

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.

Opus teacher head0.002
GPT teacher head0.148
Teacher spread0.145 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2013
Admission routes1
Has abstractyes

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