The 9th international conference on arctic margins (ICAM9) abstract volume
Bibliographic record
Abstract
Ce rapport est une compilation des résumés présentés par les participants à la 9e Conférence internationale sur les marges arctiques (CIMA 9) qui s'est tenue à Ottawa, au Canada, du 13 au 15 juin 2022. La Conférence internationale sur les marges arctiques rassemble une communauté internationale de chercheurs en sciences de la Terre qui étudient l'océan Arctique et les masses continentales adjacentes. L'objectif de la CIMA 9 était de mettre en lumière l'état de la recherche géoscientifique de pointe sous-tendue par des collaborations nationales et internationales dans la région arctique. ICAM 9 a rassemblé plus de 80 participants provenant de huit nations. Le programme technique de l'ICAM 9 comprenait deux sessions spéciales et onze sessions techniques résultant d'un effort communautaire pour capturer un large éventail de résultats de recherche sous le thème "Par la lentille de l'Arctique.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.160 | 0.077 |
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".