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Record W4366989108 · doi:10.1002/ajp.23497

An overdue catalyst: Limitations imposed by COVID‐19 improved capacity building in community‐led environmental education in Madagascar

2023· article· en· W4366989108 on OpenAlexafffund
Kathy West, Stacey R. Tecot, Amber D. Walker‐Bolton, Cortni Borgerson, Patricia C. Wright, Lovasoa Razafindravony, Andry Andriamiadanarivo, Dina Andrianoely, Jean Celestain, Pascal Elison, Jessie Jordan, Arielle Liu, Ramanorintsoa F. Milliasse, Rhodin Rafidimanandray, Tolotra Ranaivoson, Clara Randimbiarimanana, Be Noel Razafindrapaoly, Madison Soule, Jaclyn R. Aliperti

Bibliographic record

VenueAmerican Journal of Primatology · 2023
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsVolvo (Canada)
FundersInternational Conservation Fund of CanadaAmerican Society of PrimatologistsMontclair State UniversityNational Geographic Society
KeywordsOutreachPandemicPolitical sciencePublic relationsWildlifeEnvironmental educationEconomic growthCapacity buildingCoronavirus disease 2019 (COVID-19)Environmental planningGeographyEcologyMedicine

Abstract

fetched live from OpenAlex

The COVID-19 pandemic caused by the SARS-CoV-2 virus brought many primatology research programs and conservation efforts to a halt. After Madagascar closed its borders during March 2020, many on-site international project leaders and researchers returned to their home countries when their programs were delayed or canceled. Madagascar remained closed to travelers until November 2021, when it reopened to international flights. The 20-month absence of international researchers allowed many local Malagasy program staff, wildlife professionals, and community leaders to step into new leadership roles and responsibilities. Many programs that already had strong Malagasy leadership and meaningful collaborations with local communities flourished, while others either swiftly strengthened these attributes or faced challenges from pandemic-related travel restrictions. Here, we describe how the coronavirus pandemic events of 2020-2021 initiated long-overdue shifts in outdated models of internationally led primate research and education projects in communities living alongside primates at risk of extinction. We discuss the benefits and challenges of pandemic-induced changes within five primatological outreach projects, as well as how we can use these experiences to improve community-led environmental education and conservation awareness in the future.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.347
Teacher spread0.318 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2023
Admission routes2
Has abstractyes

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