Arctic Expedition Aboard the CCGS Amundsen (2023)
Bibliographic record
Abstract
This dataset contains the complete report, the expedition map as well as a list of stations and sampling types. The report is a collection of all the participating research teams’ Cruise Reports provided to the Chief Scientists at the end of each LEG of the 2023 CCGS Amundsen Expedition. The 2023 Expedition Report is divided into three parts: Part I gives an overview of the expedition, presents the cruise track and the stations visited, and provides a synopsis of operations conducted during each of the four LEGs. Part II contains the reports submitted by participating science teams or researchers, with details on the specific objectives of their project, the field operations conducted and methodology used, and in some cases, preliminary results. When results are presented, they show the data as they were submitted at the end of the LEGs in 2023. The data presented in this report are illustrative only and have not been quality checked or reviewed, thus parties interested in the results should contact the project leader, the researchers who collected the data or Amundsen Science’s Data Coordinator (amundsen.data@as.ulaval.ca). Part III includes a conclusion of the 2023 expedition, the data management process, as well as the objectives of the upcoming expedition. The sections in Part II provide a detailed description of each research program and the sampling teams on board. Specifically, Sections 1 and 2 discuss multidisciplinary programs that involve various types of sampling techniques. Sections 2 to 18 provide comprehensive information on seabirds, atmospheric conditions, surface ocean properties, water column characteristics, CTD-Rosette operations, physical properties, as well as a range of chemical and biological parameters. Sections 19 and 20 focus on seabed mapping, while sections 21 to 33 delve into benthos and sediment sampling. Finally, Sections 34 to 37 cover the Argo float and mooring operations. Four appendices are included, documenting visited stations and performed sampling as well as a list of science participants onboard during each LEG. The map of the 2023 expedition(https://catalogue.ogsl.ca/data/amundsen-science/ca-cioos_79032992-12ff-4e5c-a04e-8083296100da/Amundsen_2023.PNG) is available along with the summaries of the 2023 expedition (https://catalogue.ogsl.ca/dataset/ca-cioos_79032992-12ff-4e5c-a04e-8083296100da) which are offered in 3 languages (French, English, Inuktitut). The core oceanographic data generated by the CTD-Rosette operations, as well as meteorological information and data collected using the Moving Vessel Profiler (MVP), the ship-mounted current meter (ADCP) and the thermosalinograph (TSG) are available at the Polar Data Catalogue (PDC)(https://www.polardata.ca/pdcsearch/?doi_id=12713). It is possible to consult an interactive map (https://data.amundsen.ulaval.ca/) including all the years of expeditions and the different trajectories (LEG) associated with them.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.019 |
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".