A STRONG TRUNK + BRANCHES : GRANITE CONSTRUCTION BUILDS ON A CALIFORNIA BASE
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".