Bibliographic record
Abstract
Phoenix, Arizona, is located in the southwestern United States in the northern Sonoran Desert. Seventy percent (70%) of avian feed in this area is associated with streams or rivers. A dry riverbed, the Salt River, runs through the valley, Valley of the Sun, in which Phoenix is located. The Salt River runs immediately adjacent to the Phoenix Sky Harbor Airport. Sky Harbor Airport is a busy commercial airport and hub for America West Airlines and Southwest Airlines. The cities of Phoenix and Tempe have engaged in a project, using mostly federal money, to create a lake and wetlands in this riverbed. A lake, Tempe Town Lake, was filled this summer, 1999. Two miles long it is located less than 2 miles from the end of the runways at Sky Harbor; aircraft pass over the lake at 650 feet AGL on approach to the airport. Additionally, wetlands construction in the Salt River bed would place wetlands within 300 feet of the new runway under construction at Sky Harbor Airport. The FAA has objected to this work. Although a mitigation plan has been proposed for Sky Harbor Airport, it has not yet been implemented. No mitigation is proposed by the City of Tempe for Tempe Town Lake, other than erecting signs, “Do not feed the birds”. The Phoenix area is wintering grounds to numerous species of duck, Canada geese and other birds. For the first time in recorded history seagulls have been observed in the Phoenix area. Informal communication received from one of the major carriers at Sky Harbor indicates that bird strikes have risen dramatically since Tempe Town Lake was filled.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.099 | 0.011 |
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".