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Record W4390063898 · doi:10.1037/xlm0001299

Carport and carpet: Effects of compound and pseudocompound word structures on typing.

2023· article· en· W4390063898 on OpenAlexafffund
Christina L. Gagné, Thomas L. Spalding, Alexander Taikh

Bibliographic record

VenueJournal of Experimental Psychology Learning Memory and Cognition · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMorphemeTypingLinguisticsWord (group theory)Computer scienceCompoundChunking (psychology)Priming (agriculture)Natural language processingArtificial intelligenceCommunicationPsychologySpeech recognitionBiology

Abstract

fetched live from OpenAlex

). These findings suggest that typing compounds involves a hierarchical plan consisting of two separate motor plans for each constituent executed sequentially such that the output of letters is sensitive to the number of letters within that plan, the position of the sequence in the hierarchy (e.g., first vs. second constituent), and the morphemic structure of the to-be-typed word. Surprisingly, given that pseudocompound lexical representations should not include the pseudoconstituents and given that our tasks in the first three experiments demand full access to the lexical representation before typing, pseudocompound typing is also sensitive to the pseudoconstituent characteristics, suggesting that, during typing, the system attempts to build a compound-like structure. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.341
Teacher spread0.310 · 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 designBench or experimental
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

Citations3
Published2023
Admission routes2
Has abstractyes

Explore more

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