Horizontal Directional Drilling — Sharing an Inaugural Experience
Bibliographic record
Abstract
Founded in 1918, the Washington Suburban Sanitary Commission (WSSC) serves the water and wastewater needs of more than 1.5 million residents in the suburban Washington, D.C., counties of Prince George's and Montgomery, Maryland. The town of Washington Grove, located in Montgomery County, was once described by the town's mayor as "a town within a forest, an oasis of tranquility and a rustic jewel in the diadem of the great free state of Maryland." The officials of Washington Grove, in particular, the residents of 4th Avenue, practice the same environmental principles today as their predecessors did in 1937 when the town was incorporated. This strong environmental sentiment, coupled with a limited right-of-way and aged old trees (one dating back 250 years) along the bore path, made open-cut construction to install new water mains an undesirable option to the town. Engineers at WSSC chose to use the challenges of Washington Grove as an opportunity to introduce horizontal directional drilling (HDD) to the Commission as a viable method for installing new water mains. Research provides clear evidence that flexible restrained joint ductile iron pipe can be installed by HDD using a site-staging technique that is less obstructive and more urban friendly. (Carpenter, et al 2003).
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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
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".