Using the Framework of the Kinematic Theory for the Definition of a Movement Primitive
Why this work is in the frame
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Bibliographic record
Abstract
This article reviews the current status of the movement primitives problem, especially the question of their description and identification, and points out some challenges which remain unsolved by the approaches frequently adopted to study human movements. We use the framework of the kinematic theory proposed by Plamondon (1995 and 1998) as an example of a hybrid model that allows a precise and flexible quantitative description of human movements. It is shown that the theory can be used to encompass the various types of rapid movement encountered in the field. The principal aim of this article is to highlight the fact that the notion of movement primitives should not necessarily be confined to movements with a single velocity peak, as is still often assumed in many models. The model allows, for example, a simple description of a movement primitive, which might contain up to two direction reversals.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it