MétaCan
Menu
Back to cohort
Record W2948780209 · doi:10.16910/jemr.10.6

Reading music. How melody and notation influence musicians' eye movements, information processing and cognitive workload in a pattern-matching task

2017· other· en· W2948780209 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

VenueMADOC (University of Mannheim) · 2017
Typeother
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilNatural Sciences and Engineering Research Council of CanadaNational Science FoundationCanadian Institutes of Health ResearchCentre National de la Recherche ScientifiqueMedical Research CouncilUniversité de LyonInstitut National de la Santé et de la Recherche MédicaleSocial Sciences and Humanities Research Council of CanadaDeutsche ForschungsgemeinschaftMcGill UniversityAmerican Association of University WomenNational Institutes of Health
KeywordsEye movementTask (project management)Reading (process)Information processingCognitionComputer scienceMatching (statistics)CommunicationCognitive psychologyPsychologySpeech recognitionArtificial intelligenceLinguisticsNeuroscienceEngineeringMathematics

Abstract

fetched live from OpenAlex

The roles of cortical areas in guiding eye movements during visual search

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.987

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 communication0.0000.001
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 head0.014
GPT teacher head0.205
Teacher spread0.191 · 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