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Record W3006570858 · doi:10.22215/etd/2019-13726

Are Action Concept Deficits Embodied in a Topographic Manner in Adults with Cerebral Palsy?

2019· dissertation· en· W3006570858 on OpenAlexaff
Ashley Sokalski

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsCarleton University
Fundersnot available
KeywordsPsychologyEmbodied cognitionCognitive psychologyAction (physics)Priming (agriculture)SentenceVerbCognitionMotor cognitionSemantics (computer science)Cerebral palsyDevelopmental psychologySocial cognitionLinguisticsNeuroscienceArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

In Cerebral Palsy (CP) children commonly experience semantic deficits.The cause of semantic deficits, and persistence into adulthood, are unknown.The social network hypothesis states decreased frequency of language use in CP individuals leads to impoverished lexico-semantic representations.The embodied cognition hypothesis emphasizes the role of the motor system in processing action concepts.In this study, participants first completed a sentence-reading task while their event related potentials (ERPs) to semantically incongruent sentences were collected.No evidence was found that CP individuals process domain-general semantic incongruence differently to neurotypicals.Participants then made action decisions on lower-limb (kick), and psychological verbs (believe) in an identity-priming paradigm.The ERP component of interest was the N400.There was no evidence to suggest CP individuals have action verb impairments.If the motor system contributes but is not necessary for action semantics, then participants may present no deficits when compared to neurotypicals as shown here.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.015
GPT teacher head0.272
Teacher spread0.256 · 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
Published2019
Admission routes1
Has abstractyes

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