Temporal correlations among demographic parameters are ubiquitous but highly variable across species
Bibliographic record
Abstract
Temporal correlations among demographic parameters are ubiquitous but highly variable across species Rémi Fay1*, Sandra Hamel2, Martijn van de Pol3,4, Jean-Michel Gaillard5, Nigel G. Yoccoz6, Paul Acker1, Matthieu Authier7, Benjamin Larue8, Christie Le Coeur9, Kaitlin R. Macdonald10, Alex Nicol-Harper11,12, Christophe Barbraud13, Christophe Bonenfant5, Dirk H. Van Vuren14, Emmanuelle Cam15, Karine Delord13, Marlène Gamelon1,5, Maria Moiron16,17, Fanie Pelletier8, Jay Rotella10, Celine Teplitsky16, Marcel E. Visser4, Caitlin P. Wells18, Nathaniel T. Wheelwright19, Stéphanie Jenouvrier12,13†, Bernt-Erik Sæther1† 1 Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway 2 Département de biologie, Université Laval, Québec City, QC, Canada 3 College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia 4 Department of Animal Ecology, Netherlands Institute of Ecology (NIOO‐KNAW), Wageningen, the Netherlands 5 Laboratoire de Biométrie et Biologie Évolutive, CNRS, Unité Mixte de Recherche (UMR) 5558, Université Lyon 1, Université de Lyon, Villeurbanne, France 6 Department of Arctic and Marine Biology, UiT The Arctic University of Norway, Tromsø, Norway 7 Observatoire PELAGIS, UMS-CNRS 3462, Université de la Rochelle, La Rochelle, France 8 Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada 9 Department of Biosciences, Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, Oslo, Norway 10 Department of Ecology, Montana State University, Bozeman, MT, USA 11 School of Ocean and Earth Science, National Oceanography Centre, University of Southampton Waterfront Campus, European Way, Southampton, UK 12 Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA 13 Centre d'Etudes Biologiques de Chizé, UMR 7372, Centre National de la Recherche Scientifique, 79360 Villiers en Bois, France 13 LEMAR, 14 Department of Wildlife, Fish, and Conservation Biology, University of California, Davis, CA, USA 15 LEMAR, CNRS, IRD, Ifremer, Université de Bretagne Occidentale, Plouzané, France 16 CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France 17 Institute of Avian Research, Wilhelmshaven, Germany 18 Fish, Wildlife and Conservation Biology Department, Colorado State University, Fort Collins, CO, USA 19 Department of Biology, Bowdoin College, Brunswick, Maine 04011, USA
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".