Climate change and hazardous processes in high mountains
Bibliographic record
Abstract
The recent and continuing reduction in glacier ice cover in high mountains and thaw of alpine permafrost may have an impact on many potentially hazardous processes. As glaciers thin and retreat, existing ice- and moraine-dammed lakes can catastrophically empty, generating large and destructive downstream floods and debris flows. New ice-dammed lakes will form higher in mountain catchments, posing additional hazards in the future. The magnitude or frequency of shallow landslides and debris flows in some areas will increase because of the greater availability of unconsolidated sediment in new deglaciated terrain. Continued permafrost degradation and glacier retreat probably will decrease the stability of rock slopes. Cambio Climático y peligros naturales en altas montañas. La reciente y continua reducción de la cobertura glaciaria en alta montaña y el deshielo del permafrost pueden tener un impacto negativo en muchos procesos potencialmente peligrosos. A medida que los glaciares reducen su espesor y retroceden, los lagos formados por diques de hielo o morenas pueden vaciarse catastróficamente, resultando en grandes y destructivas inundaciones o flujos detríticos río abajo. Nuevos diques de hielo van a formarse en zonas más altas de las cuencas montañosas, generando peligros adicionales en el futuro. La magnitud o frecuencia de movimientos en masa superficiales y flujos detríticos va a aumentar en algunas áreas debido a la mayor disponibilidad de materiales no consolidados en nuevos terrenos desglasados. La degradación continua del permafrost y el retiro de glaciares probablemente va a disminuir la estabilidad de laderas rocosas.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".