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Record W1733616290

AUTOMATIC ACTIVATION OF NUMERICAL MAGNITUDE? EVIDENCE FROM JOINT DERIVATION OF SNARC AND SIZE CONGRUITY EFFECTS

2006· article· en· W1733616290 on OpenAlex
Samuel Shaki, Daniel Algom, William M. Petrusic

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of Fechner Day · 2006
Typearticle
Languageen
FieldMathematics
TopicCognitive and developmental aspects of mathematical skills
Canadian institutionsCarleton University
Fundersnot available
KeywordsNumeral systemArabic numeralsCognitionSet (abstract data type)Meaning (existential)Numerical cognitionJoint (building)Cognitive psychologyMagnitude (astronomy)Computer scienceArithmeticPsychologyMathematicsNeurosciencePhysicsEngineering
DOInot available

Abstract

fetched live from OpenAlex

A widely held assumption in the realm of numerical cognition states that the meaning (i.e., numerical magnitude) of numerals is automatically activated just whenever numerals are exposed for any purpose. Two markers of automatic activation have been the SNARC and the size congruity effect. In this study, we derived both effects on a common set of numerals for the same group of observers. We found the effects to be independent. These results invite a revision of the traditional interpretations of the SNARC as a marker of automatic activation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
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)0.0000.000

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 head0.024
GPT teacher head0.271
Teacher spread0.247 · 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