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Record W1970866704 · doi:10.1080/13554794.2012.701636

Effects of self-esteem on electrophysiological correlates of easy and difficult math

2012· article· en· W1970866704 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

VenueNeurocase · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsDouglas Mental Health University InstituteMcGill University
Fundersnot available
KeywordsTask (project management)Self-esteemPsychologyElectrophysiologyDevelopmental psychologyEvent-related potentialCognitive psychologyAudiologyCognitionNeuroscienceMedicine

Abstract

fetched live from OpenAlex

The current study investigated the effects of easy versus difficult math on event-related potentials as a function of self-esteem in 28 undergraduate students. First, it was found that participants responded much more rapidly to an easy task. Second, the amplitude of P2 (150-300 ms) was more positive amplified in low self-esteem participants when compared to high self-esteem participants. Third, the difficult task elicited a greater N2 (300-450 ms) component than the easy task, but only in the low self-esteem participants. Finally, the easy task elicited a greater late positive component (LPC: 450-600 ms) compared with the difficult task and the difficult task elicited a greater LPC (900-1200 ms) components compared with the easy task separately, which were consistent with behavioral reaction times. We speculate that the difficult math might have induced more negative emotions in subjects with low self-esteem, and that low self-esteem individuals might be more susceptible to interpret the difficult task as threatening.

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 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 score0.205
Threshold uncertainty score0.319

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 head0.043
GPT teacher head0.304
Teacher spread0.261 · 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