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Record W2266789660 · doi:10.1017/cbo9780511721953.011

Biparental care and social evolution in burying beetles: lessons from the larder

2010· book-chapter· en· W2266789660 on OpenAlexaff
Anne‐Katrin Eggert, Josef K. Müller

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCarrionBiologyPredationEcologyInterspecific competitionCompetition (biology)Paternal careZoologyOffspring

Abstract

fetched live from OpenAlex

Burying beetles (Coleoptera: Silphidae: Nicrophorus ) exhibit elaborate biparental care. Males and females independently search for small vertebrate carcasses, which serve as the sole food source for developing young. Both parents prepare the carcass for burial, excavate a cavity in the carcass within which the young feed, provision the young during the early stages of their development, and protect them from conspecific and interspecific predators and competitors. Carrion is an extremely nutrient–rich resource, but it can vary greatly in quantity and quality, and owing to its rarity and ephemeral nature, its occurrence is highly unpredictable. We propose that many of the sexual and parental behaviors of Nicrophorus can be regarded as adaptations to the unique problems posed by these resource features. Competition for carrion is intense; consequently, traits that help reduce or eliminate competition, such as carcass burial, should increase reproductive success. Competition among burying beetles is manifest in inter– and intraspecific aggressive interactions that can escalate into damaging fights. However, losers of contests over carcasses can adopt alternative reproductive tactics: subordinate females can leave some young to be cared for by a dominant female, and subordinate males can sire offspring by surreptitiously mating with the resident female. Males can also inseminate females without having found a carcass, but the number of offspring resulting from these matings is small relative to that of parental males on carcasses.

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)0.000
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.217
Teacher spread0.196 · 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

Citations298
Published2010
Admission routes1
Has abstractyes

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