Arctic Expedition aboard the CCGS Amundsen (2019)
Bibliographic record
Abstract
This dataset contains the complete expedition report, the expedition map as well as a list of stations and sampling types. The 2019 Expedition Report describes scientific expedition carried out on the CCGS Amundsen in the Canadian Arctic between May 30 and September 10, 2019. The report is a collection of all the participating research teams’ Cruise reports assembled by the Chief Scientists at the end of Leg 1, Leg 2 and Leg 3 of the CCGS Amundsen Expedition. The 2019 Expedition Report is divided into two parts: Part I gives an overview of the expedition, shows 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 2019. The data presented in the report are illustrative only and have not been quality checked, thus parties interested in the results should contact the project leader or the researchers who collected the data. The sections in Part II describing each project are organized with atmospheric, surface ocean and sea ice components first, followed by water column properties, which include the mooring and buoy program, CTD-Rosette operations and physical properties, as well as a suite of chemical and biological parameters. Contaminants cycling in seawater are presented as well. Subsequent sections cover benthos sampling, sediments sampling and seabed mapping. The four Appendices provide information about the location, date, time and type of sampling performed at each station visited by the ship, as well as a list of science participants onboard during each leg. The core oceanographic data generated by the CTD-Rosette operations, as well as meteorological information (AVOS) and data collected using the Moving Vessel Profiler (MVP), the ship-mounted current meter (SM-ADCP) and the thermosalinograph (TSG) are available in 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.
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 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 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.020 |
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".