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Record W6948853873 · doi:10.52537/humanimalia.15999

The Spanish Horse and the Thunder Drum

2025· article· en· W6948853873 on OpenAlexaff

Bibliographic record

VenueHumanimalia · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiological Activity of Diterpenoids and Biflavonoids
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsAfterlifeThunderSubject (documents)DismembermentBiographyIdentity (music)

Abstract

fetched live from OpenAlex

Life for many horses at the turn of the nineteenth century was short and subject to objectification before and after death. However, the life and afterlife of one horse at Astley’s Amphitheatre, the Spanish Horse, resisted the usual loss of identity animal death often brings. In this article I first provide a biography of the Spanish Horse and then question his afterlife as a theatrical thunder drum. In doing so, I think about the nature of taxidermy, memorial, and the usual binary of subject/object inherent within fragmented animal bodies. As part of this process, I explore the thunder drum/Spanish Horse with the aid of ecofeminism, philosophies of taxidermy, and material feminist thought, and I argue that the afterlife of the Spanish Horse as a thunder drum was one of loving remembrance that did not erase the animal self within the material object. Instead, I suggest, the preservation of the Spanish Horse’s skin after death enabled his ongoing participation and agential voice within the Amphitheatre, while elevating him above other animals therein.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.239
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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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