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Record W2037226126 · doi:10.1037/a0030217

Mind wandering in sentence reading: Decoupling the link between mind and eye.

2013· article· en· W2037226126 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

VenueCanadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · 2013
Typearticle
Languageen
FieldNeuroscience
TopicMind wandering and attention
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMind-wanderingPsychologyEye movementGazeFixation (population genetics)SentenceCognitive psychologyReading (process)Task (project management)Word lists by frequencyEye trackingCognitionLinguisticsNeuroscienceArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

When people read, their thoughts sometimes drift away from the task at hand: They are "mind wandering." Recent research suggests that this change in task focus is reflected in eye movements and this was tested in an experiment using controlled stimuli. Participants were presented with a series of sentences containing high- and low-frequency words, which they read while being eye-tracked, and they were sometimes probed to indicate whether they were on task or mind wandering. The results showed multiple differences between reading prior to a mind-wandering response and reading when on task: Mind wandering led to slower reading times, longer average fixation duration, and an absence of the word frequency effect on gaze duration. Collectively, these findings confirm that task focus could be inferred from eye movements, and they indicate that the link between word identification and eye scanning is decoupled when the mind wanders.

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 categoriesMeta-epidemiology (narrow)
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 score0.288
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.069
GPT teacher head0.323
Teacher spread0.254 · 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