Proceedings of the 2021 Annual Meeting of the Scientific Committee on Oceanic Research, 47th SCOR Annual Meeting: Virtual Meeting - October 2021
Notice bibliographique
Résumé
This proceeding summarizes the discussions during the 2021 SCOR Annual Meeting held virtually between the 26-28 of October of 2021. Following a decision from the SCOR Executive, this proceeding also provides the links for all the background information for the meeting, including the proposals for new working groups, the reports from current SCOR working groups, projects, capacity development activities, and the reports of affiliated and partner organizations all of which were traditionally included in the SCOR Annual meeting background book until 2019. All of these can also be accessed online through the SCOR website at: https://scor-int.org/events/scor-annual-meeting-2021/. The SCOR 2021 Annual Meeting was attended by more than 200 participants from 56 countries representing all continents. Forty Nominated members from 24 SCOR National Committees and the three affiliated bodies to the Executive Committee (IABO, IAPSO, IAMAS) attended the meeting. All SCOR Working Groups, research, infrastructural, and affiliated projects, along with the affiliated and partner organizations reported on their activities. Some of the main highlights of the SCOR 2021 Annual Meeting include: (1) the approval of three new Working Groups (WGs), (2) to secure NSF funding to continue to support working group and project activities, and (3) the endorsement of SCOR working group and project activities by the UN Decade of Ocean Science for Sustainable Development. The three new WGs proposals approved were: (1) Coupling of ocean-ice-atmosphere processes: from sea-Ice biogeochemistry to aerosols and Clouds (CIce2Clouds), co-chaired by Nadja Steiner (Canada) and Megan Willis (USA), (2) CoNCENSUS: Advancing standardisation of COastal and Nearshore demersal fish visual CENSUS techniques, co-chaired by Anthony Bernard (South Africa) and Rick D. Stuart-Smith (Australia), and (3) Mixotrophy in the Oceans – Novel Experimental designs and Tools for a new trophic paradigm (MixONET), co-chaired by Aditee Mitra (UK) and George McManus (USA). SCOR continued to support capacity development activities by extending support to the visiting scholars approved for travel in 2020 and approving four new scholars to travel in 2021 or until travel is possible again. SCOR has continued to approve funding applications from conference organizers to support travel for scientists from developing countries to attend these conferences when they are rescheduled. These commitments will be honored by SCOR when travel is reinitiated. The 2022 SCOR meeting is scheduled for the first week of October 2022 in Busan, Korea, hosted by the Korean Institute of Science and Technology (KIOST), and will follow the PICES meeting which will take place in the same location the week before. The 2023 SCOR meeting is scheduled to take place in Guayaquil, Ecuador, hosted by the Instituto Oceanográfico y Antártico de la Armada del Ecuador (INOCAR) between September-October. Narrated presentations reporting on SCOR project and working group activities and progress in 2021 can also be found in the SCOR YouTube channel. https://www.youtube.com/channel/UCv-dZLizFYDOC2UTweiWj0Q/videos
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,006 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,198 | 0,136 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».