Summaries of the Arctic Expedition Report Aboard the CCGS Amundsen (2022) - Translated in 3 Languages
Bibliographic record
Abstract
The dataset contains summaries of the expeditions report carried out by the Amundsen science between september 9 and october 19, 2022. The 2022 Expedition Summary is an overview of the science activities undertaken aboard the CCGS Amundsen during the 2022 field season. This document is available in English, French and Inuktitut and targets anyone who wishes to get a general idea of expeditions’ objectives and activities, including partners and local communities. The core oceanographic data generated by the CTD-Rosette operations, as well as meteorological information (*AVOS : Automated Voluntary Observing Ship*; Environnement Canada) 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). You can 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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".