Proceedings of the 2021 Annual Meeting of the Scientific Committee on Oceanic Research, 47th SCOR Annual Meeting: Virtual Meeting - October 2021
Bibliographic record
Abstract
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
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.198 | 0.136 |
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".