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Record W4403604575 · doi:10.4324/9781003459293

Exhibiting Animals in Europe and America

2024· book· en· W4403604575 on OpenAlexaboutno aff
M. Elizabeth Boone, Lianne McTavish

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

"This edited volume, written by historians of art and visual culture who are working with the field of animal studies, seeks to understand how our ways of positioning (and ex-positioning) animals have separated us from the other-than-human animals that are an integral part of our interconnected world. Bringing together the visual and material culture of display with recent theoretical study on human-animal relations, the book draws attention to ways in which we might rethink this history and map pathways for the future. Defining the idea of exhibition and display broadly, chapters consider a diverse range of media, including paintings, anatomical sculpture, books, prints, and clothing; exhibition venues that take place in both the public and private realms; and key ideas such as looking at/looking back, seeing/being seen, and interspecies recognition. The authors cover topics that span the sixteenth through the early twentieth centuries and focus geographically on Europe and America, with significant content related to Canada, Indigenous America, and Latin America. The book will be of interest to scholars working in art history, visual studies, museum studies, animal studies, and environmental humanities"--

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.142
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.004

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 head0.037
GPT teacher head0.317
Teacher spread0.280 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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