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Record W4240264635 · doi:10.1167/11.11.253

Conceptual Cues for Visual Attention

2011· article· en· W4240264635 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

VenueJournal of Vision · 2011
Typearticle
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyCognitive psychologyFixation (population genetics)FacilitationMeaning (existential)CommunicationNeuroscienceBiology

Abstract

fetched live from OpenAlex

It has been suggested that processing concepts with either prototypical spatial information (e.g., hat vs. shoes) or metaphoric-spatial associations (e.g., god vs. devil) engages visual-attentional mechanisms, orienting attention toward regions of the visual field congruent with concept meaning. Interestingly, both facilitatory (Chasteen et al., 2010) and inhibitory (Estes et al., 2008) effects have been reported as consequences of these shifts of attention. Here we examine two possible causes of this discrepancy. One possibility relates to the nature of the task; tasks requiring target detection may receive facilitation from processing congruent concepts while tasks requiring target discrimination may receive inhibitory effects. A second possibility relates to the nature of the concepts that cue attention; abstract concepts (e.g., god, devil) may invoke facilitatory processes, while concrete concepts (e.g., hat, shoes) invoke inhibitory processes. In Experiment 1, a single word at fixation, either an abstract or concrete concept, preceded a peripheral target (above or below fixation) and subjects were asked to detect the targets as quickly as possible. In Experiment 2, the same procedure was used except that subjects were asked to identify the targets as quickly as possible. To ensure semantic processing of the words, subjects were asked to respond only on trials when the word belonged to a pre-specified category (e.g., divine words). Opposite patterns of results were found across the two concept types: for abstract words, responses were faster in both tasks when target location and word meaning were compatible relative to when they were incompatible. This pattern was reversed for concrete concepts, with faster responses during incompatible trials relative to compatible trials. It appears that the nature of concepts underlies the qualitatively different attentional effects previously reported.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.991

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)0.0010.000

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 head0.076
GPT teacher head0.412
Teacher spread0.337 · 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