Theme Session G - Geohistorical records of climate and anthropogenic impacts on marine biota.
Bibliographic record
Abstract
ICES Annual Science Conference Book of abstracts of theme session G: Geohistorical records of climate and anthropogenic impacts on marine biota Conveners: Konstantina Agiadi (Austria), Jessica Lueders-Dumont (USA), Poul Holm (Ireland) CM 24: Using ancient genomes to investigate responses to climate and anthropogenic impacts in the Atlantic bluefin tuna CM 30: Impacts of urbanization and colonization on Tsleil-Wat (Burrard Inlet, BC, Canada) and Tsleil-Waututh Nation’s traditional stewardship practices CM 60: Tracking hypoxia exposure and consequences for demersal fish with sclerochronological chemical proxies CM 76: Historical insights from the inside – evaluation of a unique job diary of a small-scale fisherman documenting the German fishery system in the Western Baltic 1918-1923. CM 122: Reconstructing Holocene changes in growth rates of Adriatic gobies using coupled radiocarbon dating and sclerochronological analyses of fossil otoliths CM 130: Mesopelagic fish size in response to a past 4ºC global temperature increase CM 135: Taking the long view – using 100 years of reconstructed North Sea fishing mortality to constrain reference point projections CM 286: Baselines of Black Abalone: myths, mountains, and long-term change CM 361: Using geochemistry to analyze bone and otoliths in Atlantic cod from Iceland over the last 1100 years: a CAMHEP Project CM 362: Tracing stable isotopes and mercury in pre-industrial times in the North Pacific CM 511: Eye lenses and otoliths as windows into individual specialization and stress response CM 539: Mollusk death assemblages point to a long-term ecological stability in seagrass meadows along the Gulf Coast of Florida CM 555: The Central North Atlantic Marine Historical Ecology Project – Part I CM 560: Nitrogen isotopes reveal modern Caribbean reefs have less complex trophic pathways than their mid-Holocene counterparts
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.256 | 0.079 |
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".