Arctic Coastal Dynamics : Report of the 4th International Workshop, VNIIOkeangeologia, St. Petersburg (Russia), 10 - 13 November 2003
Bibliographic record
Abstract
Arctic Coastal Dynamics (ACD) is a joint project of the International Arctic Sciences Committee (IASC) and the InternationalPermafrost Association (IPA) and a regional project of IGBP-LOICZ (International Geosphere-Biosphere Programme -Land-Ocean Interactions in the Coastal Zone).Its overall objective is to improve our understanding of circum-Arctic coastal dynamics as a function of environmental forcing, coastal geology and cryology and morphodynamic behavior.The fourth IASC-sponsored ACD workshop was held in St. Petersburg, Russia, on November 10-13, 2003.Participants from Canada (7), Germany (7), Great Britain (2), the Netherlands (1), Norway (1), Russia (32), Ukraine (1) and the United States (8) attended.During the first part of the workshop, 63 Papers dealing with regional andlor circum-Arctic coastal dynamics were presented.Based On the material presented, five thematic working groups were identified: (1) GIS working group to develop of a circum-Arctic coastal GIS system, (2) coastal permafrost working group to discuss processes involved in the transition of onshore to offshore permafrost, (3) biogeochemistry working group with the focus On transport and fate of eroded material (4) biodiversity working group to initiate planning of an Arctic Coastal Biodiversity research agenda, ( 5 ) environmental data working group to discuss coastal dynamics as a function of environmental forcing.Finally, the results of the workshop and the next steps were discussed in the ACD Steering Committee meeting.The present Arctic Coastal Dynamics -R e ~o r t of the 4"' International Workshop l Introduction 2000).During the Arctic Science Summit Week in April 2000 in Cambridge, UK, and at the request of the IPA, the Council of the International Arctic Science Cornmittee (IASC) approved funding for a follow up workshop to develop a Science and Implementation Plan for ACD.The resulting international workshop, held in Potsdam (Germany) in October 2000, produced a phased, five-year Science and Implementation Plan ( [2001][2002][2003][2004][2005].The ACD project office was established at the Research Department Potsdam of the Alfred Wegener Institute with a secretariat to maintain international communications including the web site (http://www.awi-potsdarn.de/www-pot/geo/acd.11tm1) and an electronic newsletter.The secretariit is assisted
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".