MétaCan
Menu
Back to cohort
Record W359727802

HOW TO SOLVE CRACKING PROBLEMS AROUND MANHOLES

2002· article· en· W359727802 on OpenAlexaboutno aff
Otto J. Svec, Joy Gallagher

Bibliographic record

VenueBetter roads · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsRetrofittingCrackingSanitary sewerFrost (temperature)Aggregate (composite)Geotechnical engineeringEngineeringForensic engineeringCivil engineeringSection (typography)Waste managementEnvironmental scienceStructural engineeringMaterials scienceComposite materialComputer science
DOInot available

Abstract

fetched live from OpenAlex

Frost heave cracks around manholes can be avoided with a technique developed by the National Research Council of Canada. It uses heat naturally generated from sanitary sewers. The heat is trapped in aggregate placed around the manhole in a structure called a bag. The tapered section at the top of the manhole has slots that make it a natural radiator that keeps soil around the manhole from freezing and thawing. The bag is about 1 yd. in diameter and costs $160 for materials and installation for a new manhole, more for retrofitting existing ones. Contained in the article is a cross-section of an installation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.999

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)0.0070.002

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 head0.063
GPT teacher head0.227
Teacher spread0.164 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueBetter roadsSame topicClimate change and permafrostFrench-language works237,207