Bibliographic record
Abstract
Early trails through the Great Plains remind us that humans have passed through the area for many years. The area was seen as an impediment; the purpose was simply to get to the other side. The Great Plains are now often referred to as “flyover country,” a disparaging description indicating that most people simply fly over. The “flyoverness” of the Great Plains can be examined through air population, the total number of people flying above the earth at any point in time. The instantaneous location of aircraft can now be tracked through an extensive network of ground aircraft sensors based on ADS-B (Automated Dependent Surveillance-Broadcast) that provides the position of an aircraft along with its identification, aircraft type, altitude, and speed. Air population can then be estimated by multiplying the number of seats for each aircraft by the current seat occupancy rate. This population is further divided by state and county. Maps show the total air population, the density of air population (population/area), and the ratio of air population to ground population. While high ground population areas also have a high air population, “flyover” states have a higher ratio of air population to ground population. The analysis also shows that many counties in the Great Plains regularly have more people above them than live on the ground.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".