Integrating economic and social sciences in marine ecosystem services research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author. Conveners: Cristina Pita (Portugal), Tony Charles (Canada), Maria Grazia Pennino (Spain), Sebastian Villasante (Spain).CM 2017/Q:600. Visualization of Citizen’s Vista, Future Vision, and Its Vector: A Practical Case Study from the Tokyo Bay of Japan. Hiroaki Sugino, Nobuyuki YagiCM 2017/Q:592. Marine and coastal cultural ecosystem services: knowledge gaps and research priorities. Joao Garcia Rodrigues, A Conides, S Rivero Rodriguez, S Raicevich, P Pita, K Kleisner, C Pita, P Lopes, V Alonso Roldán, S Ramos, D Klaoudatos, L Outeiro, C Armstrong, L Teneva, S Stefanski, A Böhnke-Henrichs, M Kruse, A Lillebø, E Bennett, A Belgrano, A Murillas, I Pinto, B. Burkhard, S VillasanteCM 2017/Q:207. The human dimension in Ecosystem-Based Fisheries Management: On integrating social and political implications in Sweden. Sebastian Linke, Milena Arias SchreiberCM 2017/Q:666. A transdisciplinary approach to design and inform processes of marine Integrated Ecosystem Assessments. Dorothy J. Dankel, Jeroen van der Sluijs, Sigrid Eskeland Schütz, Erik Olsen, Cecilie Hansen, Elena Eriksen, Mette Skern-Mauritzen, Gro van der Meeren, Geir Ottersen, Per Arneberg , Lisbeth Iversen, Bertrum MacDonald, Suzuette Soomai, , Geret DePiper, Sarah Gaichas. Isaac Kaplan , Anne Hollowed, Elizabeth Fulton, Ingrid van PuttenCM 2017/Q:440. Why “not!”? The attitude of fishermen towards the protection of birds and marine mammals in the southern Baltic - genesis, development and opportunities for conflict mitigation. Iwona PsutyCM 2017/Q:679. How to reorganize governance to support ecosystem-based fisheries management? The cases of Baltic salmon and herring. Päivi Haapasaari, Alyne Delaney, Suvi Ignatius, Mia Pihlajamäki, Simo SarkkiCM 2017/Q:211. Autonomous statistic tools to improve cost-benefit ratio and fishers efficiency. Jose M. Bellido, Maria Grazia Pennino, Raul VilelaCM 2017/Q:319. WGEAWESS: Integrated Ecosystems Assessment of the Western European Shelf Seas. Eider Andonegi, Debbi Pedreschi, Didier Gascuel, Neil Holdsworth, Antony Knights, Sigrid Lehuta, Jeroen Steenbeek, Sebastian Villasante, Maria de Fatima Borges, Marcos Llope, Steven Beggs, Dave ReidCM 2017/Q:127. Fisheries research for ocean governance: A topic model analysis of fisheries science from 1990 to 2016. Shaheen Syed, Melania BoritCM 2017/Q:327. Implementing ecosystem based management: Easier said than done. Matilda ValmanCM 2017/Q:634. Decision analysis between the use of marine resources and ecosystem conservation. Riikka Venesjärvi, Richard Carson, Ari Jolma, Sakari KuikkaCM 2017/Q:91. Evaluating multi-annual management plans with MSE in the EU: experiences and the way forward. Finlay Scott, Ernesto Jardim, Iago Mosqueira, Jose De Oliveira, Laurence KellCM 2017/Q:395. Multi-dimensional analysis of the untapped offshore resource potential - A case study of the Azorean hydrothermal vents. Lakshman Ravi Teja Pedamallu, Ramiro Neves, Nelson Edgar Viegas RodriguesCM 2017/Q:553. Risk-assessment of small-scale reef fisheries off the Abrolhos Bank (NE Brazil) based on certification protocols integrating economic, social and biological data. Marilia Previero, Maria A. GasallaCM 2017/Q:121. Influence of Tipping Points and Scientific Uncertainties in the Success of International Fisheries Management: An Experimental Approach. Jules Selles, Sylvain Bonhommeau, Patrice GuillotreauCM 2017/Q:636. Environmental and socio-political shocks to the seafood sector: what does this mean for resilience? Lessons from two UK case studies. Marcello Graziano, Clive J. Fox, Karen Alexander, Cristina Pita, J.J. Heymans, Margaret Crumlish, Adam Hughes, Joly Ghanawi, Lorenzo CannellaCM 2017/Q:496. The long-term economic costs and benefits of rebuilding fish stocks for Brazilian small-scale fisheries. Monalisa R O da Silva, Maria G Pennino, Priscila F M LopesCM 2017/Q:647. Detecting and Countering Fisheries-Induced Evolution Using Marine Protected Areas. Carissa L. Gervasi, Jennifer S. RehageCM 2017/Q:489. Evaluating the socio-ecological performance of fisheries management in the Faroe Islands. Rannvá Danielsen, Sveinn AgnarssonCM 2017/Q:649. Searching for a compromise between biological and economic demands to establish Essential Fish Habitats. M. C. RufenerCM 2017/Q:502. Implementation of a program of sensitization and monitoring in industrial anchovy fishery: Fishermen like agents of change. Rosa Amelia Vinatea, Salvador PeraltillaCM 2017/Q:507. All together now! Multidisciplinary research to minimize unwanted catches in the Algarve fisheries (Southern Portugal). Mafalda Rangel, Aida Campos, Ana Marçalo, Frederico Oliveira, Jorge M.S. Gonçalves, Luís Bentes, Margarida Castro, Maria Helena Guimarães, Paulo Fonseca, Pedro M. Guerreiro, Pedro Monteiro, Rita Rainha, Karim Erzini
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it