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.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
VenueScience · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusTrent UniversityMinistry of Natural Resources and ForestryUniversity of British ColumbiaGovernment of Northwest TerritoriesUniversity of AlbertaParks Canada
FundersH2020 Marie Skłodowska-Curie ActionsInterregAgencia Estatal de InvestigaciónDisney Conservation FundIsrael Institute for Biological ResearchMinistry of Environment and Tourism NamibiaEuroNatur StiftungMesserli-StiftungMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de EspañaMiljødirektoratetEuropean CommissionSächsisches Staatsministerium für Wissenschaft und KunstNuclear Safety and Security CommissionUtah Division of Wildlife ResourcesConsejo Nacional de Ciencia y TecnologíaNatural Sciences and Engineering Research Council of CanadaBundesministerium für Bildung und ForschungJavna Agencija za Raziskovalno Dejavnost RSNatural Environment Research CouncilU.S. Department of AgricultureSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftRocky Mountain Elk FoundationAgence Nationale de la RechercheU.S. Fish and Wildlife ServiceFondation SegréBritish Ecological SocietyRoyal Zoological Society of ScotlandSight Research UKNational Geographic SocietyBernd Thies-StiftungAlberta Environment and ParksMinistry of EnvironmentRiverbanks Zoo and GardenNaturvårdsverketLiber Ero FoundationMinisterstvo ZemědělstvíParks CanadaGordon and Betty Moore FoundationAmerican Society of MammalogistsU.S. Forest ServiceAlaska Department of Fish and GameEcological Society of AmericaFoundation for North American Wild SheepMassachusetts Department of Fish and GameAix-Marseille UniversitéNational Science FoundationAlberta Conservation AssociationMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaNational Park ServiceKnobloch Family FoundationWhitley Fund for NatureHabitat Conservation Trust FoundationBiotechnology and Biological Sciences Research CouncilNational Aeronautics and Space AdministrationWildlife Conservation SocietyIllinois Department of Natural Resources
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakBiologyEcologyGeographyMedicineVirologyOutbreakInfectious disease (medical specialty)
Abstract
fetched live from OpenAlexCOVID-19 lockdowns in early 2020 reduced human mobility, providing an opportunity to disentangle its effects on animals from those of landscape modifications. Using GPS data, we compared movements and road avoidance of 2300 terrestrial mammals (43 species) during the lockdowns to the same period in 2019. Individual responses were variable with no change in average movements or road avoidance behavior, likely due to variable lockdown conditions. However, under strict lockdowns 10-day 95th percentile displacements increased by 73%, suggesting increased landscape permeability. Animals' 1-hour 95th percentile displacements declined by 12% and animals were 36% closer to roads in areas of high human footprint, indicating reduced avoidance during lockdowns. Overall, lockdowns rapidly altered some spatial behaviors, highlighting variable but substantial impacts of human mobility on wildlife worldwide.
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.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.226
Codex and Gemma teacher scores by category
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.
Teacher spread0.373 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
