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Global COVID-19 lockdown highlights humans as both threats and custodians of the environment
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.
Bibliographic record
VenueBiological Conservation · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicCOVID-19 impact on air quality
Canadian institutionsNunavut Arctic CollegeUniversité du Québec à RimouskiUniversity of British Columbia, Okanagan CampusSimon Fraser UniversityMcMaster UniversityVictoria Heart Institute FoundationCarleton UniversityWildlife Conservation Society CanadaWorld Wildlife Fund CanadaUniversity of ManitobaUniversity of VictoriaUniversité LavalCenter for Northern StudiesTula FoundationUniversity of TorontoDalhousie UniversityUniversity of British ColumbiaEnvironment and Climate Change CanadaFisheries and Oceans CanadaOcean Networks Canada SocietyEspace pour la vieParks CanadaMemorial University of Newfoundland
FundersRed Sea Research Center, King Abdullah University of Science and TechnologyMinistry of Environment and Sustainable DevelopmentAgencia Estatal de InvestigaciónHorizon 2020Seventh Framework ProgrammeConsejo Superior de Investigaciones CientíficasAustralian Research CouncilNatural Environment Research CouncilFisheries and Oceans CanadaSouth Central Climate Adaptation Science CenterDisney Conservation FundCalifornia State University Long BeachCouncil on Ocean Affairs Science and Technology, California State UniversityU.S. Geological SurveyU.S. Fish and Wildlife ServiceNational Oceanic and Atmospheric AdministrationNational Science and Technology Major ProjectVlaamse regeringMohamed bin Zayed Species Conservation FundProvincia Autonoma di TrentoRegione ToscanaEnvironment and Climate Change CanadaUniversità di PisaUniversidad de Costa RicaInstituto de Investigación de Recursos Biológicos Alexander von HumboldtNational Natural Science Foundation of ChinaInstitut Polaire Français Paul Emile VictorNational Major Science and Technology Projects of ChinaEuropean Regional Development FundCentre National de la Recherche ScientifiqueDepartment of Conservation, New ZealandMinistry of Education, IndiaCape Eleuthera FoundationLabexKing Abdullah University of Science and TechnologyMinistry of EnvironmentBiology Society of South AustraliaFonds Québécois de la Recherche sur la Nature et les TechnologiesAgence Nationale de la RechercheNational Parks Board - SingaporeIan Potter FoundationMinisterio de Ciencia e InnovaciónEuropean CommissionSight Research UKCanada Research ChairsNational Geographic SocietyVirginia Marine Resources CommissionSimon Fraser UniversityCanada First Research Excellence FundCommission for Environmental CooperationTula FoundationNatural Sciences and Engineering Research Council of CanadaMinisterio de Economía y CompetitividadUniversity of TasmaniaHakai InstituteFundación Charles DarwinAgência Regional para o Desenvolvimento da Investigação, Tecnologia e InovaçãoSave Our Seas FoundationArcticNetDavid and Elaine Potter FoundationDepartment of Environment and WaterGordon and Betty Moore FoundationFundação para a Ciência e a TecnologiaBill and Melinda Gates FoundationPrimate ConservationNational Pork BoardDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Australian Institute of Marine ScienceBoston UniversityFondation BertarelliSouth African National ParksLiber Ero FoundationA.G. Leventis FoundationCentre National d’Etudes SpatialesMinisterio para la Transición Ecológica y el Reto DemográficoChinese Academy of SciencesInstituto Nacional de Pesquisas da AmazôniaHolsworth Wildlife Research EndowmentBen-Gurion University of the NegevCanada Foundation for InnovationFlorida Fish and Wildlife Conservation CommissionNational Aeronautics and Space AdministrationNational Science Foundation
KeywordsWildlifePandemicCustodiansBiodiversityEnvironmental planningEnvironmental resource managementCoronavirus disease 2019 (COVID-19)GeographyBusinessNatural resource economicsEcologyBiologyEnvironmental scienceInfectious disease (medical specialty)
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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.
Opus teacher head0.075
GPT teacher head0.322
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itQuick stats
Citations169
Published2021
Admission routes2
Has abstractno