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Spatial Patterns of Seed Dispersal by White‐Faced Capuchins in Costa Rica: Evaluating Distant‐Dependent Seed Mortality

2009· article· en· W2120328085 on OpenAlex
Kim Valenta, Linda M. Fedigan

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

VenueBiotropica · 2009
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversity of Calgary
KeywordsSeed dispersalBiological dispersalNational parkSeedlingEcologySeed dispersal syndromeBiologyGerminationGeographyFrugivoreWhite (mutation)DemographyBotanyHabitatPopulation

Abstract

fetched live from OpenAlex

ABSTRACT Spatial patterns of seed dispersal are the focus of numerous theoretical examinations of endozoochory. Here, we examine the spatial pattern of seed dispersal by white‐faced capuchin monkeys Cebus capucinus in Santa Rosa National Park, Costa Rica, and the neighborhood characteristics and distance variables most closely associated with seed survival and germination, and seedling survival and growth in various locations. Overall, distance to the nearest fruiting conspecific tree has the most positive, consistent effect on growth and survival variables, which supports a variation of the Janzen–Connell seed escape hypothesis.

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 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)0.000
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 score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.355
Teacher spread0.320 · 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