Bibliographic record
Abstract
The internal structure and stratigraphy of Pleistocene glaciotectonic features are best exposed in coastal cliffs and stream bluffs, as well as artificial human-made excavations. Such exposures of glaciotectonic structures and strata tend to be ephemeral. Features revealed at one point in time may be removed by continued erosion or excavation and, thus, new features become exposed. On the other hand, previous exposures often are obscured by slumping and vegetation growth. Major landforms, structures, sediments, and rock masses may remain more-or-less intact over decades, but the finer and more-detailed features may disappear within a few years. The consequences of this situation are reviewed in case studies from Canada, Denmark, and the United States. In order to fit together the glaciotectonic puzzle, field investigations must take place throughout a region and be repeated periodically over decadal time spans. Application of imagery and mapping techniques, especially UAS (drones), would be of great value for continuing research. In this way, previous results may be supplemented, verified, refined in greater detail, and preserved.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".