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Record W2183263109

Evaluation of Stump Strength for Temporary Forest Road Design

2001· article· en· W2183263109 on OpenAlexaboutno aff
Seamus Parker

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsnot available
Fundersnot available
KeywordsForest roadTerrainCivil engineeringEngineeringRetaining wallEnvironmental scienceGeotechnical engineeringForensic engineeringForestryGeographyCartography
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT- Historically, forest roads on the BC coast have sometimes been constructed using stumps and log cribs to retain the road fill on steep slopes. However, experience has shown that road fill failures may occur after several years often due to root strength deterioration. Currently, B.C.’s forest Practices Code permits the use of logs and stumps to retain the road fill if the technique is prescribed as a “measure to maintain slope stability ” and the road will be permanently deactivated within five years of construction. Such measures must be prepared by a “qualified registered professional” (QRP). A strict interpretation of the code may lead QRPs to prepare a geotechnical design for the road fill retention structure. At present more information is needed to develop design criteria for log and stump retaining structures, specifically load carrying capacity and failure characteristics of old-growth stumps present on coastal BC terrain. Therefore, the Forest Engineering Research Institute of Canada (FERIC) in cooperation with Weyerhaeuser Company’s Ltd.’s B.C. Coastal Group and EBA Engineering Consultants Ltd., conducted tests in September 2000 in order to determine the strength of typical old-growth Douglas-fir stumps. This paper presents the results of the stump pulling trials.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.070
GPT teacher head0.281
Teacher spread0.211 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2001
Admission routes1
Has abstractyes

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