Effects of Plate Boundary Variations on Elevation, Coast Mountains, British Columbia
Bibliographic record
Abstract
New Geographic Information Systems (GIS) analysis reveals that the width and height of the elevated topography of the Coast Mountains in British Columbia is largely controlled by the type of adjacent plate boundary. This research documents a strong spatial correlation between topographic characteristics of the Coast Mountains and the transition from a subduction zone to a transform margin on the coast of British Columbia. A sharp change in the topography was observed just near Bella Coola, where the plate boundary switches from a subduction zone in the south to a transform boundary in the north. The south part of the mountain range is distinctly different from the north; the high peaks are concentrated in the south. All of the peaks between 2500 and 4000 meters occur solely in the south part of the mountain range. In addition, all of the topography in the southern part of the range is higher and forms a dense 150 kilometer-wide band of high elevation (>2000 m) that runs through the center of the southern part of the range. The north segment of the Coast Mountains contains very few peaks above 2200 meters. These few peaks are widely scattered, and do not form a persistent topographic feature. The abrupt change in topography occurs where the plate boundary changes from a subduction zone to a transform fault. This spatial relation implies that topography in the south is being held at higher elevations due to the subduction zone?s intense compressional forces.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".