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Record W4235542696 · doi:10.31080/asne.2020.03.0277

A New Definition of Body Schema with Respect to Body-Centered Vs External Frames of Reference

2020· article· en· W4235542696 on OpenAlexaff
Rodrigues Mrm, Marcos Rojo Rodrigues

Bibliographic record

VenueActa Scientific Neurology · 2020
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsSchema (genetic algorithms)Body schemaReference frameFrame of referenceComputer sciencePsychologyInformation retrievalFrame (networking)PhysicsClassical mechanics

Abstract

fetched live from OpenAlex

Moving is a way of experiencing the world and the way we move, as well as the way we perceive the environment around us, is relevant to this experience.The world we live in, however, is more than an ensemble of coordinates and the body is more than a passive machine ruled by laws of mechanics.A pragmatic view arised in 1920, when Held implied that body schema plays an important role in the control of action, involving aspects of both central and peripheral nervous systems.This is typically a non-conscious process and is used primarily for spatial organization of action.The representation of one's own body is quite different from any other type of representation.It arises from the continuous and constant update of bottom-up and top-down information, both from internal and external bodily inputs.These inputs encompass different sources of information (e.g.visual, proprioceptive, interoception, nociception, motor behavior, etc.) and their interaction allows for building up body representations.Due to the complexity of such representation, it is widely accepted that there is more than one single body representation and many studies have tried to functionally fractionate different body representations, although, up to now, there is not a universally accepted taxonomy [1].The identification of components of body representation is a challenge and the main interest in studying the egocentric frame of reference relies on the necessity of better understanding the first-person experience [2].The lack of a proper definition of body schema has been leading to enduring methodological and conceptual misunderstandings in various fields.In rehabilitation, this lack of definition, as well as the unclear contribution of the concept of body schema in the context of the different frames of reference, ego-and exocentric, create a gap in the translation of this knowledge in the context of improving patient care.Establishing a definition of body schema is still very challenging since there is not definitive evidence about the multiple factors directly influencing it, however a new definition might shed a light on this topic for it considers the contribution of both internal and external factors: Body schema is a spatiotemporal, continuously updated, modular and coherent representation of the physical body in the ventral nervous system, integrating a multitude of sensorimotor processes, serving as a guide for movements to be performed as accurately as possible while adapting to the constraints of the environment.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0010.011
Scholarly communication0.0040.007
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.067
GPT teacher head0.304
Teacher spread0.236 · 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 designTheoretical or conceptual
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

Citations1
Published2020
Admission routes1
Has abstractyes

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