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Record W7108222463 · doi:10.26071/369b967f-805c-4b33

Arctic Expedition Aboard the CCGS Amundsen (2024)

2025· report· en· W7108222463 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOGSL repository · 2025
Typereport
Languageen
Field
Topic
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCruiseArcticSampling (signal processing)The arcticMultidisciplinary approachSeabedSonarData collection

Abstract

fetched live from OpenAlex

The 2024 Expedition Report is a collection of all the participating research teams’ cruise reports assembled by the Chief Scientists at the end of each LEG of the 2024 CCGS Amundsen Expedition. The 2024 expedition report is divided into three parts: Part I gives an overview of the expedition and resulting data availability, presents the cruise track and the stations visited, and provides a synopsis of operations conducted during each of the 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, the 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 2024. 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). 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 3 to 37 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 38 to 48 focus on seabed mapping, sediment and benthos, while sections 49 to 51 delve into mooring operations. Finally, as short conclusion is presented in Part III. 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. 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 2024 expedition(https://catalogue.preprod.ogsl.ca/data/amundsen-science/ca-cioos_fd351414-f083-488a-88c4-fb05b533a7c7/Amundsen_Map_2024.png) is available along with the summaries of the 2024 expedition (https://catalogue.preprod.ogsl.ca/data/amundsen-science/ca-cioos_fd351414-f083-488a-88c4-fb05b533a7c7) 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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.104
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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.

Opus teacher head0.022
GPT teacher head0.295
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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