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Record W4313855828 · doi:10.26443/crae.v49i1.160

Animal Bodies in the Museum: Acts of Artmaking, Collective Knowledge, and Complex Conversation Around Museum Taxidermy

2022· article· en· W4313855828 on OpenAlex
Jacob Le Gallais

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Review of Art Education / Revue canadienne d’éducation artistique · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsConcordia University
Fundersnot available
KeywordsConversationCitizen journalismContext (archaeology)Visual artsMuseologyArtStudioSpace (punctuation)Museum educationSociologyComputer scienceCommunicationHistoryWorld Wide WebArchaeology

Abstract

fetched live from OpenAlex

The purpose of this paper is to explore how critical acts of making during a participatory museum workshop and subsequent studio-based research-creation can inspire poly-vocal discourses around museum taxidermy as repositories of complex histories. Centred on four animals on display at the Redpath Museum, this program of research sough to reanimate these animals and reposition their context within the museum space and wider world beyond. Through collaborative exploration and creative acts of making, art educators can engage and shape the discourse around taxidermied animal bodies, giving them new life as tools for teaching and learning in museum spaces.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.278
Teacher spread0.223 · 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