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Where Publics May Touch

2014· article· en· W993581963 on OpenAlexaffabout
Mark Clintberg

Bibliographic record

VenueThe Senses and Society · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsConcordia University
Fundersnot available
KeywordsPublicsExhibitionPerformative utteranceVariety (cybernetics)Context (archaeology)EthnographySupervisorSociologyPublic relationsVisual artsKey (lock)Political scienceAestheticsComputer scienceHistoryArtAnthropologyPolitics

Abstract

fetched live from OpenAlex

In response to the unique sensory modes of blind and partially sighted communities, tactile and multisensory tours and exhibition components of museum collections are gradually becoming more common in North America and Europe. Such initiatives are often intended to give equal forms of access for diverse participating publics. This article provides an auto-ethnographic report on the tactile tours offered by The National Gallery of Canada (Ottawa) program “Stimulating the Senses,” and gives context for sensorial models at play in Western museums today. Museum strategies that encourage intersensorial awareness and access are also discussed. Attention is given to the performative properties of these tours, and the variety of encounter they encourage between publics. This article also includes accounts of the program by its supervisor and coordinator, as well as from a participant. Key questions this article explores are: do such tours in fact give equal access; what motivates the development of such programs in Canadian institutions; and what outcomes are realized through these programs?

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.101
Threshold uncertainty score0.338

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0200.007
Scholarly communication0.0170.010
Open science0.0010.011
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1010.015

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 head0.025
GPT teacher head0.212
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations8
Published2014
Admission routes2
Has abstractyes

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