Streamlining Success of Southeast Arkansas Interstate 69 Connector Project
Bibliographic record
Abstract
Streamlining the National Environmental Policy Act (NEPA) and FHWA's transportation planning process is a goal of all state departments of transportation as well as a presidential goal and directive (Executive Order 13274, Environmental Stewardship and Transportation Infrastructure Project Reviews). One section of the nationally designated Interstate 69 (I-69) corridor, the proposed north–south interstate from Canada to Mexico, used a project study process that combined innovative geographic information system (GIS) technology with early, proactive coordination with state and federal resource agencies, Native American tribes, and the public to expedite the NEPA project development process. The Southeast Arkansas I-69 Connector Project (I-69 connector) successfully integrated the development and management of a project-specific GIS with early and continuous stakeholder outreach. This approach fostered a cooperative project atmosphere in which alternatives were developed that responded to the concerns of all stakeholders. This approach proved invaluable in consensus building and in achieving concurrence in a compressed time frame from the public and regulatory resource agencies on the ultimate location of the new facility.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".