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Record W2038700574 · doi:10.1644/08-mamm-a-298r1.1

Microsatellite Variation in Namibian Brown Hyenas (Hyaena brunnea): Population Structure and Mating System Implications

2009· article· en· W2038700574 on OpenAlexafffund
Peter J. Van Coeverden de Groot, Ingrid Wiesel, Peter T. Boag

Bibliographic record

VenueJournal of Mammalogy · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMating systemMatingVariation (astronomy)ZoologyBiologyPopulationEcologyDemography

Abstract

fetched live from OpenAlex

The genetic structure of brown hyena (Hyaena brunnea) populations in any part of their distribution is unknown. Brown hyenas live in clans whose territories and membership change, making nongenetic estimates of population structure and relatedness among individuals difficult to establish. Sixty-one brown hyenas from the west coast of Namibia were genotyped at 10 microsatellite loci designed for the spotted hyena (Crocuta crocuta). We ∼ reduced microsatellite variation in brown hyenas compared to spotted hyenas. Using nonhierarchical analyses we detected no major genetic subdivisions across the area sampled in Namibia, but weak differentiation among 2 clans in the southern portion of the range. Females within clans were significantly more related (rwc♀♀ = 0.34 ± 0.072 SE) than females between clans (rbc♀♀ = 0.022 ± 0.033) and than females and males in clans (rwc♀♂ = 0.058 ± 0.076). Examination of these data indicates that dominant males were not related to dominant females and that there is multiple paternity within clans.

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)0.000
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 score0.023
Threshold uncertainty score0.273

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)0.0000.000

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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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

Citations10
Published2009
Admission routes2
Has abstractyes

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