Characterization of the coastal marine environment in the vicinity of a grounded iceberg, Canadian Arctic Archipelago
Bibliographic record
Abstract
This study aimed to characterize the marine environment in the vicinity of a grounded iceberg near Resolute, Nunavut, and evaluate its potential influence on the surrounding water column.A survey of the physico-chemical properties (salinity, temperature and δ 18 O, as well as nitrate, phosphate and silicic acid concentrations) and phytoplankton biomass was conducted from August 11 th to 29 th , 2014.The water column was strongly stratified throughout the study area due to sea ice melt.The iceberg's interference with the ocean currents resulted in mixing and potentially upwelling in the adjacent water column.A phytoplankton bloom, indicated by high chlorophyll a concentrations (13.7 to 21.0 mg m -3 ) and surface nutrient depletion, was observed and likely began prior to sea ice break up on August 9 th .The presence of icebergs on Arctic continental shelves may influence local coastal current dynamics, although it did not appear to influence nutrient dynamics during this study.encouraged me throughout my thesis and contributed his knowledge to the project whilst allowing me the room to also work independently.I would also like to thank my co-supervisor, Dr. Christine Michel, whose enthusiasm and charisma provided a positive and motivated learning environment.Over the past two years I have benefited greatly from Derek and Christine's constructive criticism, comments, and suggestions.My fieldwork in Resolute, Nunavut could not have been accomplished without my field assistant, Sam Brenner
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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 | 0.002 |
| 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) | 0.000 | 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 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".