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Record W7033429680

Relation corps-pieds lors de l'adaptation de la marche pour l'emjambement d'obstacles

2015· other· fr· W7033429680 on OpenAlexfundno aff

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2015
Typeother
Languagefr
FieldMathematics
TopicMathematics and Applications
Canadian institutionsnot available
FundersCentre for Interdisciplinary Research in RehabilitationUniversité Laval
KeywordsESPACELaser rangingMoment (physics)
DOInot available

Abstract

fetched live from OpenAlex

Le placement des pieds en fonction de la position du corps est un facteur clé dans l’équilibre postural nécessaire à la marche mais les adaptations de cette relation géométrique pied-corps lorsque l’environnement l’exige demeure incomprises. Dans cette étude, dix jeunes participants masculins sains marchaient au niveau du sol et devaient enjamber un obstacle qui pouvait soudainement se déplacer vers l’avant au point du contact de pied un ou deux pas avant son franchissement. Le but était de perturber la position de l’obstacle avec deux délais temporels afin de quantifier la position relative entre le corps, les pieds et l’environnement afin de démontrer l’importance géométrique nécessaire pour un franchissement d’obstacle sécuritaire. Les diverses conditions expérimentales ont permis de montrer que la distance horizontale entre l’obstacle et les pieds précédent le franchissement de l’obstacle est une variable assez flexible dans la réussite de cette tâche. Au moment des contacts talons avant et après le franchissement de l’obstacle, la distance relative entre le bassin et le pied nouvellement posé au sol était maintenue pour toutes les conditions. Les résultats présentés dans ce mémoire suggèrent une priorisation de maintenir une relation géométrique stéréotypée entre le pied supportant le corps et le bassin et cela peu importe les distances horizontales entre les pieds et l’obstacle.

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)0.001
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.235
Teacher spread0.211 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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