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Record W2589528312

Picture Theory, Tacit Knowledge or Vividness-Core? Three Hypotheses on the Mind's Eye and Its Elusive Size

2005· article· en· W2589528312 on OpenAlexaff
Amedeo D’Angiulli, Adam Reeves

Bibliographic record

VenueeScholarship (California Digital Library) · 2005
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsTask (project management)Argument (complex analysis)PsychologyCore (optical fiber)Tacit knowledgeScale (ratio)Cognitive psychologySocial psychologyEpistemologyComputer scienceGeographyCartographyPhilosophyEngineering
DOInot available

Abstract

fetched live from OpenAlex

In this study, we compared hypotheses derived from our interpretation of three imagery theories -picture theory, tacit knowledge and vividness-core.Participants were asked to generate "small" (1.2 o ), "medium" (11 o or 16 o ), or "large" (91 o ) images of concrete, everyday objects.Image size varied between subjects in Experiment 1, and within subjects in Experiment 2. Vividness ratings and image latency were measured.According to picture theory, vividness should increase directly with latency, and both should increase continuously with size, in both Experiments.According to tacit knowledge theory, such a continuous increase will occur only in Experiment 2 when the full range of sizes is known to the subjects.According to vividness-core theory, latency and vividness should be inversely related in both experiments, and latency should increase with size in Experiment 1 but not in Experiment 2. Results support vividness-core.Images, we conclude, are primarily derived from memories whose latent activation is reflected in reported vividness, as specified by vividness-core theory.

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.

How this classification was reachedexpand

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.006

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 head0.063
GPT teacher head0.290
Teacher spread0.227 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2005
Admission routes1
Has abstractyes

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