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Record W2894831724

Dead or Alive: Animal Bodies in the Museum

2017· dissertation· en· W2894831724 on OpenAlexaboutno aff
Jacob Le Gallais

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsArtVisual artsMuseologyScholarshipPaintingCitizen journalismDanceArt historyAesthetics
DOInot available

Abstract

fetched live from OpenAlex

The purpose of my thesis is to explore the strange, seductive, and often complicated world of museum taxidermy. More specifically, the research aims to examine what roles art-making (in the form of participatory in-museum practice and subsequent studio-based research-creation) can play in conversations around taxidermied animals, and how these acts of art-making contribute to the generation of knowledge about the cultural display of animal bodies and wider discourses surrounding animal issues. This thesis has been realized in two distinct phases, firstly a participatory/collaborative art making museum intervention at the Redpath Museum at McGill University. The second phase of this research has been centred on the creation of a series of research-creation artworks, embodying and reconstructing the museum intervention and surrounding scholarship. Both phases have centred on four specimens of zoological museum taxidermy on display at the Redpath; a polar bear, a gorilla, a whooping crane, and a beaver diorama. Overall, the intervention at the Redpath Museum resulted in engaging a myriad of discourses around animal bodies activated as social objects. These discourses were then re-constructed and further disseminated through a process of research-creation in the form of eight mixed-method watercolour paintings/collages. These paintings/collages re-conceptualized the Redpath Museum itself as functioning as a kind of diorama, in order to highlight the differing contexts involved in the cultural display of animal bodies in museum spaces versus the lives of animals in the wild.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient 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: none
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.307
Teacher spread0.233 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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