More than 16 Years, More than 16 Stressors: Evolution of a Reflective Gravel Beach, 1989-2005
Bibliographic record
Abstract
Mobile Beach, a reflective, moderate-to-high energy, gravel bayhead bar system in eastern Newfoundland, has been influenced by 15 hurricanes and strong winter storms, and at least 9 significant autumn and winter storms between July 1989 and December 2005. Yearly variations in the extent of seasonal ice cover offshore, and snow cover, ice foot development, and freezing of beach sediment, also have shaped Mobile Beach. Vehicle activity and foot traffic have resulted in coarsening, compaction, and steepening. Excavation of a drainage channel through the beach affected sediment supply and transport. Changes in hurricane activity, in the occurrence and impact of northeast winds, and in seasonal ice cover, play a major role in shaping coastal morphology, in conjunction with sea level rise. Variations in the North Atlantic Oscillation are reflected in storm effectiveness and snow and ice influence. Tropical storm and hurricane activity results in substantial modifications to the beach, but the erosional events cannot be correlated with overall variations in hurricane activity. Although Mobile Beach does respond to large-scale regional to hemispheric factors, local factors, including the angle of wave attack, the number of previous events, and anthropogenic activity, play the dominant role here.
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 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 | 0.001 |
| 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) | 0.002 | 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".