Can I twist your arm? The influence of target orientation on the magnitude of the right-hand advantage
Bibliographic record
Abstract
Controversy exists concerning whether handedness is a unidimensional trait or a multidimensional trait. However, researchers espousing the view that handedness is multidimensional are in disagreement regarding what the dimensions are that underlie handedness. Healey, Liederman, and Geschwind (1986) have provided some evidence that the type of musculature utilised (i.e., proximal versus distal) may be an underlying factor in determining handedness. The present research attempted to test this notion by examining the effects of target orientation on the relative performance of the two hands, using a peg-moving task. Target orientation was examined by utilising key-shaped pegs that fit securely into key-shaped holes. The results showed that the presence of target orientation increased the preferred-hand advantage. It is considered that this increased advantage for the right hand may be due to the hemispheric control of proximal versus distal musculature suggested by Geschwind and Galaburda (1985).
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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 | 0.009 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".