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Record W2008491660 · doi:10.3389/fpsyg.2014.00506

Developing embodied cognition: insights from children’s concepts and language processing

2014· review· en· W2008491660 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Psychology · 2014
Typereview
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsEmbodied cognitionCognitionCognitive roboticsCognitive sciencePsychologyMotor cognitionPerspective (graphical)Cognitive psychologyEmbodied agentSocial cognitionComputer scienceNeuroscienceArtificial intelligence

Abstract

fetched live from OpenAlex

Over the past decade, theories of embodied cognition have become increasingly influential with research demonstrating that sensorimotor experiences are involved in cognitive processing; however, this embodied research has primarily focused on adult cognition. The notion that sensorimotor experience is important for acquiring conceptual knowledge is not a novel concept for developmental researchers, and yet theories of embodied cognition often do not fully integrate developmental findings. We propose that in order for an embodied cognition perspective to be refined and advanced as a lifelong theory of cognition, it is important to consider what can be learned from research with children. In this paper, we focus on development of concepts and language processing, and examine the importance of children's embodied experiences for these aspects of cognition in particular. Following this review, we outline what we see as important developmental issues that need to be addressed in order to determine the extent to which language and conceptual knowledge are embodied and to refine theories of embodied cognition.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.403
Teacher spread0.348 · 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