Cultural Resource Assessment SEP Water Line Route University Lands Blocks 9 and 58 Reagan County, Texas
Bibliographic record
Abstract
In March of 2017, Turpin and Sons Inc. (TAS) archeologists assessed the cultural resource potential of 9 miles of proposed waterline right-of-way on University Lands in southwest Reagan County, Texas. The right-of-way is 100 ft wide for a total area of effect (APE) of 109.7 acres. The project was sponsored by Sequitur Energy Resources Inc. (Sequitur) and carried out under the authority of Texas Antiquities Permit 7958 issued to Jeff Turpin acting as Principal Investigator. The proposed route extends through University Lands Block 58, Section 24 and Block 9 Sections 3, 4, 12, 14, 21, 22, and 28, crossing Garrison Draw and County Road 113 (Best Lane) north of the abandoned town of Best. The area is highly disturbed from past clearing, leaving little of the original landscape in place. No new evidence of historic or prehistoric occupation or use was observed and no new archeological sites were added to the inventory. The ROW crosses previously recorded site 41RG244, a prehistoric scatter of firecracked rock (FCR), located primarily east of the route. The site area was expanded to 240 NW/SE by 150 NE/SW by the scattered lithic debris and FCR in the new survey corridor. The site is located in an area described by the USDA as oil waste land. Scouring of the surface has widely dispersed artifacts and FCR. The site was originally assessed as failing to meet National Register of Historic Places significance criteria and that judgement is reiterated here. Therefore, 41RG244 poses no impediment to the planned construction. No other cultural material was observed in the rest of the project area so installation of this waterline will not affect significant cultural resources.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".