Bibliographic record
Abstract
One of the most obvious geomorphological features that can form at a coastline is a delta. In the Albertine Rift, at the long-axial shorelines of lakes away from rift-border faults at the basin flanks, and where there is a gentle, offshore topographic dip to the rift valley floor, then a long-axial delta system (LADS) can form. Low-level aerial photography demonstrates that these have a relatively high sediment discharge over a remarkably short period of time, prograding tens of metres in only a few years. This produces an elongate delta finger lobe, with associated characteristic geomorphological features, such as dextral and sinistral spits, barrier and mouth bars. Yet, no delta finger lobes are more than a few kilometres long, indicating that incremental movement along rift-bounding and intrabasinal faults change the dip of the rift valley floor and cause forced avulsion in rivers and rapid abandonment of a LADS. Together, these factors produce easily identifiable intervals within Pleistocene–Holocene rift-fill stratigraphy that display coarsening-up parasequence sets within an overall 3–5 m deltaic package. Typically, these will be stacked in the stratigraphy between recognizable marginal lacustrine sediments, such as sand berms and runnel lagoons.
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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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.045 | 0.006 |
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".