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Record W2901277227 · doi:10.1002/nad.12075

Challenging Subjects: Towards Ethnographic Analyses of Animals

2018· article· en· W2901277227 on OpenAlexaffabout
Kendra Coulter

Bibliographic record

VenueJournal for the Anthropology of North America · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsBrock University
Fundersnot available
KeywordsEthnographySociocultural evolutionSociologyFutures contractAffect (linguistics)EpistemologyAnthropologyCommunicationPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article is an exploration of and experiment in animal‐centric ethnographic research. I first delve into key conceptual, scholarly, and practical issues which extend from the growing interdisciplinary interest in human‐animal relations, and the anthropological emphasis on multispecies ethnography. I then offer experimental ethnographic data focused on horses in show jumping stables in Canada. I approach the horses as both biological and sociocultural beings who affect and are affected by their formal jobs as show jumping horses. Through the concept of work‐lives, I also highlight the multi‐dimensional nature of their experiences as whole beings who have their own relationships and interests which are simultaneously shaped by and distinct from their human‐prescribed roles. I am interested in the methodological possibilities as gateways to deeper understanding of animals, more ethical practice within and beyond universities, and more just multispecies futures.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.009
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.106
GPT teacher head0.451
Teacher spread0.345 · 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 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

Citations15
Published2018
Admission routes2
Has abstractyes

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