Joining the Great Plains in Space, Place, and Time: Questioning a Time Zone Boundary.
Bibliographic record
Abstract
Standard time zone boundaries are invisible in the landscape, yet they abruptly delineate a temporal difference of one hour between two large areas located relative to one another on Earth. In most cases, standard time zone boundaries follow political ones and define areas within which daylight saving time (DST)-the seasonal advancement of standard time by one hour-is observed. Moving time zone boundaries and the decision to observe daylight saving time occurs throughout the world for various reasons that result in the synchronization of socioeconomic and political activities within and between communities and the simultaneous separation from others. The zone boundary between mountain standard time (MST) and central standard time (CST) in the Great Plains of the United States now follows the mostly rectilinear political boundaries of counties and states from the Canadian border in the north t'o the Mexican border in the south. North and South Dakota, Nebraska, Kansas, and Texas are bisected by the standard time zone boundary. All Plains states observe DST. Two consequences result from this current configuration: first, communities on either side of the MST-CST zone boundary are united by time but may not be related by environmental characteristics; and second, that observing or eliininating DST in one state depends upon observance or elimination in neighboring states.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.037 |
| Scholarly communication | 0.008 | 0.017 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".