MétaCan
Menu
Back to cohort
Record W2085922089 · doi:10.1139/t99-108

Track and support rehabilitation for a mine company railroad

2000· article· en· W2085922089 on OpenAlexvenueno aff
Gerald P. Raymond

Bibliographic record

VenueCanadian Geotechnical Journal · 2000
Typearticle
Languageen
FieldEngineering
TopicRailway Engineering and Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsBallastAxleTrack (disk drive)Foundation (evidence)Aggregate (composite)Axle loadEngineeringGeotechnical engineeringMining engineeringStructural engineeringMechanical engineeringLaw

Abstract

fetched live from OpenAlex

The initial support and tie foundation problems of a railroad track built in 1974 to carry axle loads 21% greater than presently (1998) permitted under interchange laws at a speed of 88 km/h are presented. Some of the concerns related to and affecting the final rehabilitation that resulted in a final satisfactory performance are documented. The foundation engineer's interest is directed to the ballast, the tie, and to a lesser extent the rail's behaviour. Cobble-sized (75-150 mm) river gravel was used as the source for the ballast in the rehabilitation. The ballast's satisfactory performance has permitted the establishment of guidelines for future use of this type source of material where suitable quarried rock is not available. The railroad's satisfactory performance after rehabilitation has proven that the design concepts involving 36 t (40 tons) axle loads operating on 60 kg/m (119 lb/yd) continuously welded rail, concrete ties, and ballast manufactured by crushing from a river aggregate were achievable.Key words: railway track, concrete ties, ballast aggregate, aggregate, crushed face, rail, 36 t (40 tons) axle loads.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.006
GPT teacher head0.199
Teacher spread0.193 · 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

Citations17
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Geotechnical JournalSame topicRailway Engineering and DynamicsFrench-language works237,207