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Record W4404603699 · doi:10.1080/11956860.2024.2426324

Refuge and supplementary bamboo-based diet in capuchin monkeys ( <i>Sapajus nigritus cucullatus</i> ) in association with habitat fragmentation and stochastic events

2024· article· fr· W4404603699 on OpenAlexvenueno aff
Victoria Martínez de Zorzí, Andrea S. Vega, Carolina Guerreiro, Damián Villaseñor‐Amador, Luciana Oklander

Bibliographic record

VenueEcoscience · 2024
Typearticle
Languagefr
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsnot available
FundersConsejo Nacional de Investigaciones Científicas y TécnicasMargot Marsh Biodiversity Foundation
KeywordsBambooHabitatFragmentation (computing)BiologyOmnivoreHabitat destructionEcologyHabitat fragmentationPredation

Abstract

fetched live from OpenAlex

Capuchin monkeys (Sapajus nigritus cucullatus) are the most omnivorous primates of the New World. However, forest fragmentation and degradation may limit resources availability. This in turn can act synergistically with other factors, such as severe weather conditions and potentially causing changes in spatial distribution, behavior, and diet. During field observations of capuchin monkeys we recorded the use of bamboo forest patches as refuge sites and as supplementary food sources. This behavior was observed in December 2021 in fragmented environments and low availability of resources, after an extreme drought event recorded in Northeastern Argentina. Bamboo forest patches of Chusquea ramosissima, Guadua chacoensis, G. trinii, and Merostachys clausenii were used as refuge sites, and as supplementary sources of food and water (i.e. foliage leaves, shoots, and caryopsis) under conditions of scarce resource availability and extreme drought events.

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 score0.022
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.306
Teacher spread0.294 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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