Marine records of Riverine water and sediment discharge in fjords of Nunatsiavut
Bibliographic record
Abstract
This thesis focuses on the understanding of patterns and variability of sediment and fresh water delivery from land to sea, and sediment dispersal in the marine basins of two fjords in Northern Labrador. Multibeam and sub-bottom acoustic data and sediment cores were collected in Nachvak and Saglek fjords. Sediment cores were sub-sampled for X-radiography, grain size, and radiochemical analysis (based on the particle-bound radioisotopes ²¹⁰Pb and ¹³⁷Cs,), to study sedimentary structures and determine sediment accumulation rates. Results show that the sediments are generally mottled and fine grained. Sediment accumulation rates are on average 0.21 cm/y in Nachvak fjord and 0.26 cm/y in Saglek Fjord with temporal resolutions ranging from 15 - 68 years in Nachvak Fjord and 12 -49 years in Saglek Fjord. Mass accumulation rate values suggest that the majority of the sediment is accumulating in the center of the basins. Further analyses suggest that: postglacial sedimentation was on average constant in Nachvak Fjord; in Saglek Fjord sediment accumulation was more rapid during the last ~ 100 y as compared to post-glacial times; the main sediment source in Saglek fjord is from rivers with extensive catchments that lack glaciers, and in Nachvak fjord from smaller rivers with steep, small and presently glaciated catchments as well as from additional sources such as from the erosion of glaci-marine terraces.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".