Size and Spatial Congruity Effects in Single-Digit Magnitude Judgment Tasks
Bibliographic record
Abstract
The spatial-numerical association of response codes (SNARC; Dehaene, Bossini, & Giraux, 1993) effect and size congruity effect (SiCE;Henik & Tzelgov, 1982) are the results of relationships of numerical magnitude with response location and physical size respectively.These relationships have been the subjects of thorough investigation in the numerical cognition literature.However, such investigations have largely occurred independently of each other, with few studies known to the author offering simultaneous investigation of the relationships between numerical magnitude and response location and between numerical magnitude and physical size.Four experiments using single-digit magnitude judgment tasks resulted in reliable SNARC effects, with little evidence of SICEs and no interactions between the factors that give rise to these relationships.Obtained results suggest the spatial-numerical and size-numerical relationships that give rise to SiCE and SNARC effects are the result of separate representational processes rather than a singular representation of physical and numerical magnitude information.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".