The sedimentological and ichnological characteristics of inclined heterolithic stratification (IHS) of modern and ancient fluvio-tidal systems
Bibliographic record
Abstract
Modern and ancient fluvio-tidal sedimentary successions are studied in order to enhance understanding of sedimentological, ichnological, and, if possible, stratigraphic relations in the rock record. Modern sedimentary environments investigated include the inner estuary to fluvial reach (inclusive of the fluvio-tidal transition zone) of the mud-dominated, macrotidal Petitcodiac River estuary, New Brunswick, Canada, and the sand-dominated, micro- to mesotidal Ogeechee River estuary, Georgia, USA. The ancient paleoestuarine environment, namely, the early Cretaceous middle McMurray Formation, Alberta, Canada, has been examined by applying process ichnological framework in order to refine the paleogeographic interpretations and distinguish between the tidally influenced fluvial and tidally influenced estuarine settings. The macrotidal Petitcodiac River estuary has also been used as a laboratory to test the significance of flocculation as a crucial process in the rapid removal of large amounts of sediments from suspension. Mud floccule ripples poorly known from the rock record and barely documented in the modern sedimentary environments, are reported from the intertidal flats of the upper Petitcodiac River estuary. The presented floccule ripples are current-generated, non-episodic in nature, are characterized by morphometric and grain-size data, and constrained by the observed physical processes. Moreover, this thesis explores the advantages of using the high-resolution SWIR hyperspectral imagery to enhance the visibility of physical and biological sedimentary structures, especially within coarse-grained, bitumen-saturated sediments. One well within the middle McMurray Formation (Kearl Oil Sands area) has been analyzed to ascertain the usefulness of this technique, make new observations, support previously made environmental interpretations, and, in some cases, change the paleoenvironmental interpretations. Finally, a new removable-cap suction corer, developed within the course of this thesis work, that is inexpensive to construct, light in weight, highly portable, and designed to extract any core diameter, is presented.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".