Water Industry Well‐represented in Magazine's Selection of 2007 Trendsetters
Bibliographic record
Abstract
Public Works magazine has named its 2007 Trendsetters in it's November 2007 issue. A member of AWWA's staff, a number of AWWA members, and several other organizations and people related to the water industry are on the list of the 50 most influential people, places, or events of the year. This article includes the following award winners: Kevin Morley, an environmental policy analyst in AWWA's government affairs office in Washington, D.C.; Daphne Utilities, a public water, sewer, and natural gas utility in Daphne, Alabama; Rafael Frias, a project engineer with Black & Veatch; Eric Hoek of the University of California, Los Angeles; Alan Hollenbeck of Winfield, Illinois; David Lewis of Grand Falls‐Windsor, Newfoundland; Paul Michael Schultz, chief of construction management with the Bureau of Water and Wastewater of the Baltimore (Maryland) Department of Public Works; Susan Seacrest, founder of the Groundwater Foundation in Nebraska; Michael Stuver, Roger Kjelgren, and Kelly Kopp were part of a joint effort by Utah State University and the U.S. Bureau of Reclamation; Nikolay Voutchkov, corporate technical director at Poseidon Resources; US Rep. John Dingell, a 27‐term Democrat representing Detroit, Michigan, who chairs the House Energy and Commerce Committee; The Georgia Tech Research Institute's Environmental Radiation Center; and, The Chicago (Illinois) District of the U.S. Army Corps of Engineers.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".