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Record W1489448559 · doi:10.1162/leon.2009.42.3.267

<i>Synesthesia: Art and the Mind</i> 18 September–20 December 2008, The McMaster Museum of Art (in collaboration with the Department of Psychology, Neuroscience &amp; Behavior, McMaster University, Hamilton, Ontario, and the 7th Annual Meeting of the American Synesthesia Association [ASA])

2009· article· en· W1489448559 on OpenAlexaboutno aff
Amy Ione

Bibliographic record

VenueLeonardo · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSynesthesiaArt historyPsychologyCognitive scienceNeuroscienceArtPsychoanalysis

Abstract

fetched live from OpenAlex

June 01 2009 Synesthesia: Art and the Mind 18 September–20 December 2008, The McMaster Museum of Art (in collaboration with the Department of Psychology, Neuroscience Behavior, McMaster University, Hamilton, Ontario, and the 7th Annual Meeting of the American Synesthesia Association [ASA]) Amy Ione Amy Ione Search for other works by this author on: This Site Google Scholar Author and Article Information Amy Ione Online ISSN: 1530-9282 Print ISSN: 0024-094X © 2009 Massachusetts Institute of Technology2009 Leonardo (2009) 42 (3): 267–269. https://doi.org/10.1162/leon.2009.42.3.267 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn Email Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Amy Ione; Synesthesia: Art and the Mind 18 September–20 December 2008, The McMaster Museum of Art (in collaboration with the Department of Psychology, Neuroscience Behavior, McMaster University, Hamilton, Ontario, and the 7th Annual Meeting of the American Synesthesia Association [ASA]). Leonardo 2009; 42 (3): 267–269. doi: https://doi.org/10.1162/leon.2009.42.3.267 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsLeonardo Search Advanced Search This content is only available as a PDF. © 2009 Massachusetts Institute of Technology2009 Article PDF first page preview Close Modal You do not currently have access to this content.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
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 studies0.0010.003
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 head0.013
GPT teacher head0.248
Teacher spread0.236 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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

Citations1
Published2009
Admission routes1
Has abstractyes

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