Lateral transport of sediment and organic matter, derived from coastal erosion, into the nearshore zone of the southern Beaufort Sea, Canada
Bibliographic record
Abstract
Herschel Basin is a natural depression on the southern Beaufort Shelf, which is located in the western Canadian Arctic between the Mackenzie Delta and the Alaskan border. The submarine basin of late Wisconsin age is a natural sediment trap for material eroded along the Yukon coast and through its unique position within the area also a valuable paleoenvironmental archive. During a field campaign in spring 2016, a thirteen meter long sediment core was obtained from the Herschel Basin. \nThe aim of this Master’s thesis was to quantify the amount of carbon, nitrogen and sediment with terrestrial origin throughout the sediment column from the Herschel Basin. The increasing research effort to understand the dynamics of Arctic coasts is justified by their contribution to the global carbon budget and their vulnerability. \nThe results showed that the majority of sediment found in the sediment column of the Herschel Basin could be assigned to a mix of riverine and terrestrial/coastal inputs. However, the individual percentage of each input (marine, fluvial and terrestrial) could not be distinguished, due to lack of data. \nIn conclusion, this thesis showed that in the Arctic nearshore zone coastal erosion affected by climate change will definitely have a negative impact on “[…] climate feedbacks, on nearshore food webs, and on local communities, whose survival still relies on marine biological resources”(M. Fritz et al., 2017).
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".