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Record W2794126084 · doi:10.1044/2017_jslhr-l-17-0246

Planning Deficits in Children With Specific Language Impairment Are Reflected in Unnecessarily Awkward Grasps

2018· article· en· W2794126084 on OpenAlexaff
Teenu Sanjeevan, David Α. Rosenbaum, Elina Mainela‐Arnold

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2018
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSpecific language impairmentPsychologyCognitive psychologyMotor planningTask (project management)Typically developingDevelopmental psychologyEngineering

Abstract

fetched live from OpenAlex

Purpose: Specific language impairment (SLI) affects many children, but its symptomatology is still being characterized. An emerging view, which challenges the notion that SLI is specific to language, is that SLI may actually reflect a domain-general deficit in procedural learning. We explored an extension of this hypothesis that a core deficit in SLI involves a domain-general problem in planning. Method: We used a dowel-transport task to study the extent to which 13 children with SLI and 14 typically developing (TD) controls (ages over both groups between 8;10 [years;months] and 12;11) would adopt initially awkward grasps that ensured comfortable final grasps when reaching out to move a dowel from 1 position to another (the end-state comfort effect). We predicted that children with SLI would be less likely to use end-state comfort grasps than would TD children. Results: Contrary to our prediction, when awkward grasps were needed to ensure comfortable final grasps, participants with SLI showed the end-state comfort effect as often as the TD children did. Unexpectedly, however, in trials where awkward grasps were not needed for comfortable final grasps, the participants with SLI used more awkward grasps than did the TD participants after trials in which initial awkward grasps were needed. Conclusion: We suggest that this perseverative behavior is indicative of a domain-general problem in planning in SLI.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.014
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.055
GPT teacher head0.397
Teacher spread0.342 · 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 teacher head, 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

Citations5
Published2018
Admission routes1
Has abstractyes

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