Evidence map›Paper›PMID 27397966›Full record

ReviewBehavioral ecology and sociobiology

From division of labor to the collective behavior of social insects.

Deborah M Gordon

Abstract readReview
In one paragraph

Review in Behavioral ecology and sociobiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The life history of harvester ant colonies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The economic superorganism in the complexity of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  14. Article
  15. Article
  16. Ecological interchangeability: supporting team adaptive expertise in moments of disruption.Advances in health sciences education : theory and practice · 2022
    Article
  17. Article
  18. Measuring collective behavior: an ecological approach.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  19. Article
  20. 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

1 author.

Deborah M GordonDepartment of Biology, Stanford University, Stanford, CA 94305-5020 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

'Division of labor' is a misleading way to describe the organization of tasks in social insect colonies, because there is little evidence for persistent individual specialization in task. Instead, task allocation in social insects occurs through distributed processes whose advantages, such as resilience, differ from those of division of labor, which are mostly based on learning. The use of the phrase 'division of labor' persists for historical reasons, and tends to focus attention on differences among individuals in internal attributes. This focus distracts from the main questions of interest in current research, which require an understanding of how individuals interact with each other and their environments. These questions include how colony behavior is regulated, how the regulation of colony behavior develops over the lifetime of a colony, what are the sources of variation among colonies in the regulation of behavior, and how the collective regulation of colony behavior evolves.

Indexed as

Collective behaviorDistributed algorithmSocial insectsTask allocation

Identifiers

PMID27397966
PMCPMC4917577

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.