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Record W4401819725 · doi:10.1080/13506285.2024.2335116

Frequency of filler items does not modulate the emotional attentional blink

2024· article· en· W4401819725 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

VenueVisual Cognition · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRapid serial visual presentationAttentional blinkPsychologyCognitive psychologyStimulus (psychology)CognitionVisual attentionNeuroscience

Abstract

fetched live from OpenAlex

In the emotional attentional blink (EAB; emotion-induced blindness), emotional distractors impair report of subsequent targets in rapid serial visual presentation (RSVP) streams of fillers. Recent research demonstrated that the EAB is surprisingly weak. Because RSVP includes serial abrupt onset fillers which otherwise might capture attention, we hypothesized that participants might broadly suppress stimulus-driven attention and enhance goal-driven control to allow for target detection. Such suppression could in turn reduce emotional capture and the EAB. The present study thus compared the EAB in typical RSVP tasks to that in “skeletal” tasks with most fillers omitted, reasoning that reducing the number of fillers would reduce the likelihood of broad suppression of capture, thus enhancing the EAB in skeletal tasks. However, similar EABs were observed in both tasks within-participants, ruling out this hypothesis. This research is also, to the best of our knowledge, the first demonstration of an EAB using a skeletal paradigm.

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 score0.110
Threshold uncertainty score0.515

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 head0.151
GPT teacher head0.401
Teacher spread0.250 · 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