Theme Session E – Developing applied evidence for biodiversity conservation and management
Bibliographic record
Abstract
Book of abstracts of theme session E:Developing applied evidence for biodiversity conservation and managementConveners: Paul Whomersley (UK), Andrea Belgrano (Sweden), Will Le Quesne (UK)CM 752: Mapping benthic biodiversity to facilitate future sustainable developmentCM 768: Dredging up the pastCM 773: Interannual homing to reproductive sites and transboundary migration in black seabream Spondyliosoma cantharus, with implications for managementCM 830: New seascapes delimitation approach to inform protected areas designation considering trade-offs between current human activities and biodiversity conservationCM 853: Comparing the size at onset of sexual maturity of edible crab (Cancer pagurus, Cancridae) in Berwickshire and NorthumberlandCM 865: Integrated assessments to support sustainable management of a multi-service seabed systemCM 871: Using angling competition data to identify essential fish habitat for data deficient speciesCM 877: Scale-dependent spatiotemporal patterns of biodiversity in the western Mediterranean: an indicator-based approachCM 893: Biodiversity changes and reorganization of the demersal communities in the western MediterraneanCM 900: Informing twaite shad (Alosa fallax) ecology and conservation using acoustic telemetryCM 924: Diversity, stability and ecosystem functioning relationships across marine fish communities facing contrasting environmental and anthropogenic pressuresCM 929: Benthic indicators: informing sustainable marine management and conservation objectivesCM 942: Cumulative and interacting pressures shaping the spatiotemporal patterns of biodiversity in the western MediterraneanCM 948: Genomic population structure of eelgrass (Zostera marina) as revealed by data from 2bRAD sequencingCM 949: Establishing good pelagic habitat conditions for planktivorous fishCM 971: Integrated evidence on trade-offs between conservation and use of marine ecosystems. A case study of English waters: where are we now, barriers and opportunities for progressCM 992: Modelling Benthic State in the Central Mediterranean: reconciling benthos observations from different sourcesCM 1009: Conservation advice for fisheries management in offshore marine protected areCM 1016: Using meroplankton larvae to evaluate the connectivity of marine protected areasCM 1022: Big data approaches reveal large-scale patterns in marine epifaunaCM 1026: Developing tools to facilitate sustainable and proportionate fisheries management: Estimating the spatial distribution of the pressure on, and services and sensitivity of coastal habitatsCM 1032: Competitive angling as a scientific tool: generating long term population data to support ecosystem-based management of coastal fisheriesCM 1046: Interannual homing to reproductive sites and transboundary migration in black seabream Spondyliosoma cantharus, with implications for managementCM 1068: Using a multi-pronged approach to increase the knowledge base for a fish species in the spotlight, pollack (Pollachius pollachius)CM 1081: Leveraging high-resolution human activity data to support biodiversity conservationCM 1123: Challenges for indicators to assess the status of the fish community in the Wadden SeaCM 1142: Empirical data versus expert opinion in environmental impact assessments – a case study of twaite shad (Alosa fallax) & marine energy development in the Bristol Channel, UKCM 1187: Tracking of European bass to inform fisheries management and policy: applied case studies at local and regional spatial scalesCM 1196: Moving from monitoring to applied evidence in the assessment of marine conservation areas in the Newfoundland and Labrador region, Northwest Atlantic
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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 | 0.079 | 0.130 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.005 | 0.014 |
| Research integrity | 0.015 | 0.008 |
| Insufficient payload (model declined to judge) | 0.184 | 0.035 |
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".