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Record W4404464419 · doi:10.5539/ijb.v16n1p1

Sensitivity to Number Parity in Young Myrmica Sabuleti Ants

2024· article· en· W4404464419 on OpenAlexvenueno aff
Roger Cammaerts, Marie-Claire Cammaerts

Bibliographic record

VenueInternational Journal of Biology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsParity (physics)BiologySensitivity (control systems)ZoologyPhysicsEngineeringAtomic physics

Abstract

fetched live from OpenAlex

Young Myrmica sabuleti worker ants aged at most a few weeks and settled in small single-cohort colonies, were learned, by operant conditioning, to recognize either 2 or 3 dots displayed on a stand. When tested in front of two stands bearing different numbers of dots, one even and the other odd, their response was always higher towards the stand bearing the same parity as the one learned. They thus reacted to the parity corresponding to the number of dots they have learned to associate with the reward. These young ants were sensitive to the parity of a number of dots ranging from 1 to at least 6, but could not discriminate their parity when in front of 5 and 6. They were somewhat more responsive towards an even number than towards an odd number, having learned a number with this parity. A preceding study showed that older workers (experienced foragers) are sensitive to the parity of numbers of dots ranging from 1 to at least 7, and this equally whether the numbers are odd or even. Their limit of parity discrimination of close numbers is in front of 6 and 7. It therefore appears that, although present early on, the sensitivity of young workers to parity of numbers of elements and to number discrimination has to improve over the course of their lives, perhaps through an age-related maturation process, or through acquired experience.

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)0.001
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.010
GPT teacher head0.315
Teacher spread0.305 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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