How Two Fundamentally Different Geology and Glacial History Paradigms Address the Schoharie Creek Drainage Route Problem, New York State, USA
Bibliographic record
Abstract
This report compares the ability of two fundamentally different geology and glacial history paradigms to explain how eastern New York State’s unusual Schoharie Creek drainage route originated. What makes the drainage route unusual is west-oriented Schoharie Creek headwaters begin at two 300-meter-deep gaps in the 800-meter-high east-facing Catskill Eastern Escarpment (which is also the Hudson River valley’s western boundary) and then flow in a west, northwest, and north direction to eventually reach the southeast-flowing Mohawk River which flows to the south-oriented Hudson River. After traveling 280 kilometers in an almost complete circle Schoharie Creek headwaters eventually pass a point that is approximately 600 meters lower and 16 kilometers away from where Schoharie Creek begins. A geologic literature review demonstrates the Schoharie Creek drainage route origin problem attracted the attention of late 19th and early 20th century geologists and physical geographers, but the accepted geology and glacial history paradigm which has been evolving over the past 150 years did not and still does not provide the necessary mechanisms required for researchers to determine what formed the unusual Schoharie Creek drainage route. However, a new geology and glacial history paradigm which was developed by using Missouri River drainage basin drainage system and erosional landform evidence and which uses two linked icesheets, the first of which created and occupied a deep “hole” in the North American continent and which also generated immense and long-lived meltwater floods, is able to provide a logical, internally consistent, and simple Schoharie Creek drainage route origin problem solution that also explains how many other Catskill Mountain region drainage system and erosional landform features originated.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".