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Transitions in Levels of Organization: Lessons from Social and Colonial Spiders

2025· article· en· W4412935783 on OpenAlexaff
Leticia Avilés

Bibliographic record

VenueAnnual Review of Ecology Evolution and Systematics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsColonialismGeographySocial organizationEcologyBiologyEconomic geographySociologyAnthropologyArchaeology

Abstract

fetched live from OpenAlex

In the origin of multicellular organisms or social groups, a dichotomy emerges between systems where the parts retain some autonomy, referred to as modular, and more integrated unitary systems. I explore the critical roles of ecology and geometry in determining whether groups form and the degree of integration they develop. I argue that these are essential considerations above and beyond whether groups originate from a single cell or a single inseminated female. I consider these points through the lens of social and colonial spiders, which represent early transitions to either unitary or modular systems, respectively. By allowing or constraining cooperation, I suggest that the geometry of their webs—irregular tridimensional versus orbicular—determines the degree of integration of their groups, their scaling properties, their population structure, and their long-term evolutionary fate. Ecology, on the other hand, determines the need or opportunity for groups to form. I extend these lessons to other social systems and levels of organization.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.009
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.357
Teacher spread0.330 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2025
Admission routes1
Has abstractyes

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