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Record W746031667

A STRONG TRUNK + BRANCHES : GRANITE CONSTRUCTION BUILDS ON A CALIFORNIA BASE

2003· article· en· W746031667 on OpenAlexaboutno aff
A Zeyher

Bibliographic record

VenueRoads & bridges/Roads & bridges (Des Plaines, Ill. Online) · 2003
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueEngineeringQuarter (Canadian coin)Work (physics)RentingFlexibility (engineering)Bridge (graph theory)Resource (disambiguation)Fiscal yearTransport engineeringCivil engineeringFinanceBusinessManagementEconomicsArchaeologyGeographyComputer scienceMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

This article describes Granite Construction, one of the largest highway contractors in the U.S. Founded in 1922 and based in Watsonville California, the firm operates as two divisions, one that specializes in jobs $50 million and more and lasting several years, and one that handles smaller projects mainly in the western part of the country. Reported revenue for 2003 was more than $770 million. In addition to construction, Granite operates an in-house materials testing program and designs its own pavement and monitors performance of other construction materials. A recent award is a $62.3 million contract to widen the Taconic State Parkway in Yorktown Heights, New York. Another one is to replace a six-lane bridge across the Potomac at Alexandria, VA, with a dual six-lane span at a total cost of $115.5 million, $91.2 million of which covers Granite's work. The smaller jobs division accounts for the majority of the company's work although a recent report shows more contracts going to the large division in the latest fiscal quarter. A company executive reports more design- build bids, which have advantages in streamlining decision-making and saving money. Granite also uses rental equipment, up to 20% of what it needs, an option that provides flexibility.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.073
GPT teacher head0.327
Teacher spread0.254 · 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 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

Citations0
Published2003
Admission routes1
Has abstractyes

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