Evidence map›Paper›PMID 38818418›Full record

ArticleEvolution letters2024

Toward greater realism in inclusive fitness models: the case of caste fate conflict in insect societies.

Helena Mendes Ferreira, Denise Araujo Alves, Lloyd Cool, Cintia Akemi Oi, Ricardo Caliari Oliveira, Tom Wenseleers

Abstract read
In one paragraph

Article in Evolution letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Innovation in ant larval feeding facilitated queen-worker divergence and social complexity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Helena Mendes FerreiraDepartment of Biology, Laboratory of Socio-ecology and Social Evolution, Zoological Institute, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0003-2090-4528
Denise Araujo AlvesDepartment of Entomology and Acarology, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil.ORCID https://orcid.org/0000-0001-6525-427X
Lloyd CoolDepartment of Biology, Laboratory of Socio-ecology and Social Evolution, Zoological Institute, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0001-9936-3124
Cintia Akemi OiDepartment of Biology, Laboratory of Socio-ecology and Social Evolution, Zoological Institute, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-3682-8219
Ricardo Caliari OliveiraDepartament de Biologia Animal, de Biologia Vegetal i d'Ecologia-Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain.ORCID https://orcid.org/0000-0002-8996-1291
Tom WenseleersDepartment of Biology, Laboratory of Socio-ecology and Social Evolution, Zoological Institute, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-1434-861X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of social evolution, inclusive fitness theory has been successful in making a wide range of qualitative predictions on expected patterns of cooperation and conflict. Nevertheless, outside of sex ratio theory, inclusive fitness models that make accurate quantitative predictions remain relatively rare. Past models dealing with caste fate conflict in insect societies, for example, successfully predicted that if female larvae can control their own caste fate, an excess should opt to selfishly develop as queens. Available models, however, were unable to accurately predict levels of queen production observed in

Indexed as

caste fate conflictinclusive fitness theorysocial evolutionstingless bees

Identifiers

PMID38818418
PMCPMC11134464

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.