MétaCan
Menu
Back to cohort
Record W2962617382 · doi:10.5539/ijb.v11n4p16

Ants Correctly Locate the Zero in a Continuous Series of Numbers

2019· article· en· W2962617382 on OpenAlexvenueno aff
Marie‐Claire Cammaerts, Roger Cammaerts

Bibliographic record

VenueInternational Journal of Biology · 2019
Typearticle
Languageen
FieldMathematics
TopicCognitive and developmental aspects of mathematical skills
Canadian institutionsnot available
Fundersnot available
KeywordsZero (linguistics)Element (criminal law)Series (stratigraphy)Food deliveryMathematicsUnit (ring theory)Computer scienceEcologyBiologyMarketingBusinessPhilosophyPaleontology

Abstract

fetched live from OpenAlex

Knowing that the workers of the ant Myrmica sabuleti have a concrete notion of zero, and that they can expect the time and the place of the next delivery of food, we experimentally examined if these ants could locate the zero at its due cardinal place. The ants were visually trained step by step to a continuous decreasing series of two amounts of elements differing by one unit, and of which, at each step, either the lower or the higher amount was associated with food. The ants were tested at each step of the decreasing series, and each time essentially reacted to the amount of elements which would be associated with the following food delivery. This showed that the ants could distinguish amounts of elements as being lesser or higher by one element, up to and including the absence of element (the zero). At the end of the series, the ants perceived the zero as being ‘1 element less 1’ as well as 1 element as being ‘0 element plus 1’. They thus correctly located the zero at its due cardinal place.

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)0.003
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.308
Teacher spread0.286 · 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

Citations15
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of BiologySame topicCognitive and developmental aspects of mathematical skillsFrench-language works237,207