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Record W2774074771 · doi:10.22459/tt.05.2015.04

Hurricanes and coastlines: The role of natural disasters in the speciation of howler monkeys

2015· book-chapter· en· W2774074771 on OpenAlexfundno aff
Alison M. Behie, Travis S. Steffens, Tracy M. Wyman, Mary SM Pavelka

Bibliographic record

VenueANU Press eBooks · 2015
Typebook-chapter
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsNatural (archaeology)GeologyGeographyPaleontology

Abstract

fetched live from OpenAlex

In his highly influential book Primate Taxonomy, Colin Groves discusses the importance of having an accurate account of primate taxa in order to understand evolutionary relationships that exist between species.This includes understanding genetic and morphological similarities between species as well as the processes of speciation.As the most widely ranging Neotropical monkey, the evolutionary relationships of the genus Alouatta have been examined from behavioural, morphological and most recently genetic data.According to Groves (2001) there are nine or 10 species of Alouatta and up to 19 subspecies (Table 4.1).Of these species, three are found in Mesoamerica: A. palliata, A. pigra and A. coibensis, with the rest located in South America.However, a more recent study of the molecular genetics of these species revealed A. coibensis to be indistinct from A. palliata, leaving A. pigra and A. palliata as the two remaining species in the Mesoamerican clade of howlers (Cortes-Ortiz et al., 2003).In 2012, while at a conference in Mexico, the lead author asked Colin what his thoughts were on the potential role of severe weather in speciation events, and more specifically on the biogeographical distribution on these two closely related species.He admitted he had never given it much thought, but was intrigued by the idea.This chapter further investigates this idea, by pulling together an array of evidence for both A. pigra and A. palliata in an attempt to add another piece to the puzzle of what factors are important in defining species.Until 1970 A. pigra was considered a subspecies of A. palliata, when they were separated into two distinct species by Smith.This distinction was based on differences in their cranial size and morphology, characteristics of the upper molar dentition as well as the colour and texture of the pelage.Horwich and Johnson (1986) later noted that testes descend much earlier in A. pigra, and that A. pigra lives in consistently smaller social groups.The taxnomonic separation of A. pigra and A. palliata was genetically confirmed by Cores-Ortiz and others (2007) who showed them to have a 5.7% difference in mitochondrial DNA.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.307
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2015
Admission routes1
Has abstractyes

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