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Record W4226024717 · doi:10.1037/xlm0001119

A reexamination of the impact of morphology on transposed character priming effects.

2022· article· en· W4226024717 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Experimental Psychology Learning Memory and Cognition · 2022
Typearticle
Languageen
FieldComputer Science
TopicText Readability and Simplification
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMorphemePriming (agriculture)PsychologyCharacter (mathematics)LinguisticsLexical decision taskRepetition primingCommunicationMathematicsCognitionBiologyNeurosciencePhilosophy

Abstract

fetched live from OpenAlex

in English in that both components are words themselves and, hence, when presented in transposed order, may activate morphological information reflecting the individual components rather than the word itself]), a contrast that Gu et al. did not examine. In Experiment 1, we replicated Gu et al.'s finding of equal TC priming effects for their single- and multiple-morpheme words, although our priming effects were noticeably smaller than theirs. In Experiment 2, we split the single-morpheme condition in order to examine the TC priming effects for single-morpheme simple words, single-morpheme complex words and multiple-morpheme words. The results showed that the single-morpheme complex words produced the smallest priming effect, indicating that transposed morphemes can influence masked priming in Chinese; however, apparently only in an inhibitory fashion. (PsycInfo Database Record (c) 2022 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.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.020
GPT teacher head0.315
Teacher spread0.295 · 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