Sedimentological and Geotechnical Studies of Coastal Sediments of Central Kerala
Bibliographic record
Abstract
All over the world, several Quaternary proxy data have been used to\nreconstruct past sea levels, mainly radiocarbon or OSL dating of exposures of\nmarine facies or shore line indicators (e.g. Carr et al., 2010) as well as paleoenvironmental\nindicators in lagoon or estuary sediments (e.g. Baxter and\nMeadows, 1999). Estuaries and deltas develop at river mouths during\ntransgressive and regressive phases, respectively (Boyd et al., 1992). In\nparticular, the postglacial Holocene sea-level rise has contributed importantly to\nthe estuary-to-delta transition (Hori et al. 2004). By analyzing radiocarbon ages\nof the basal or near-basal sediments of the world’s deltas, Stanley and Warne\n(1994) showed that delta initiation occurred on a worldwide scale after about\n8500–6500 years BP and concluded that the initiation was controlled\nprincipally by the declining rate of the Holocene sea-level rise.\nWorldwide there were different regional sea-level changes since the last\nglacial maximum (LGM) (Irion et al., 2012). Along the northern Canadian\ncoast, for example, sea level has been falling throughout the Holocene due to\nthe glacial rebound of the crust after the last glaciation (Peltier, 1988). This is\ncomparable to the development in Scandinavia (Steffen and Kaufmann, 2005)\nwhere sea level drops today. From about Virginia/USA to Mexico there is a\nconstant sea-level rise similar to the Holocene sea-level development of the\nsouthern North Sea (e.g. Vink et al., 2007). From the border of Ceará/Rio\nGrande do Norte down to Patagonia, indicators of Holocene sea level point to a\nlevel that was up to 5 m higher than today's mean sea level (Angulo et al., 1999;\nMartin et al., 2003; Caldas et al., 2006a, b)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".