MétaCan
Menu
Back to cohort
Record W4399411965 · doi:10.2991/978-94-6463-429-7_24

Exploring the impact of highway construction standards on the development of the highway industry in the Northwest Territories

2024· book-chapter· en· W4399411965 on OpenAlexaboutno aff
Haotian Bai, Faming Huang, Linhui Wang, Fukai Sun, Xiaomin Dai

Bibliographic record

VenueAtlantis highlights in engineering/Atlantis Highlights in Engineering · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRoad constructionHighway engineeringTransport engineeringCivil engineeringEnvironmental planningGeographyEngineeringRegional scienceConstruction engineering

Abstract

fetched live from OpenAlex

This paper aims to investigate the role of highway engineering construction standards in promoting the development of the highway industry and accelerating the realization of China's strategic goal of becoming a 'transportation power.'It summarises the current situation of developing domestic highway industry standards and their implementation.Using Northwest China as an example, the effectiveness of technical highway engineering standards is explored through the statistics of highway mileage, highway quality, and other relevant aspects.This text discusses the effectiveness of implementing highway engineering technical standards in the northwest region, the problems encountered during construction, and the current state of industry development.It provides a reference for constructing the Xinjiang regional transportation standard system.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.266
Teacher spread0.236 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAtlantis highlights in engineering/Atlantis Highlights in EngineeringSame topicArctic and Russian Policy StudiesFrench-language works237,207