Controls on the Architecture of a Triassic Sandy Fluvial System, Wolfville Formation, Fundy Basin, Nova Scotia, Canada: Implications for the Interpretation and Correlation of Ancient Fluvial Successions
Bibliographic record
Abstract
Abstract Architectural-element analysis was developed to describe and reconstruct fluvial system stacking patterns and understand the controls on fluvial architecture. The architecture of braided fluvial systems at the scale of channel belts is still poorly understood, and upscaling from outcrop observations to basin-scale architecture remains partly speculative. Nonetheless, predictive sedimentary models are necessary to understand the connectivity of sand bodies from small scale (outcrop) to basin scale. This contribution presents a dataset from the Late Triassic sandy braided fluvial system of the Fundy Basin (Nova Scotia, Canada). We describe facies associations, architectural elements, and stacking patterns at different scales, and discuss the controls on fluvial architecture and upscaling issues. The studied section shows, at the base, multilateral stacked channel bodies with little preservation of fine-grained floodplain facies. It changes upwards into multistory stacked channel bodies that form channel-belt complexes intercalated with thicker floodplain deposits. Based on grain-size evolution, large-scale sequences encompass several channel-belt complexes. Controls on channel and channel-belt migration or avulsion are considered to be related to autocyclic processes. In contrast, large-scale vertical evolution and grain-size variations record allocyclic signals. In particular, gradual grain-size variations suggest a climatic control which influences the bedload transport capacity of the depositing fluvial system. Architectural evolution including an upward increase in the preservation of floodplain units is considered to be due to an increase in generation of accommodation space. We question the existing definition of the order of large-scale (sixth- to seventh- order) bounding surfaces recognized previously and highlight difficulties associated with reconstructing development of a regional fluvial system using these bounding surfaces.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 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".