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Record W3159039542 · doi:10.1007/978-3-030-63523-7_11

Place-Making by Cows in an Intensive Dairy Farm: A Sociolinguistic Approach to Nonhuman Animal Agency

2021· book-chapter· en· W3159039542 on OpenAlex

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.

Bibliographic record

Venue˜The œinternational library of environmental, agricultural and food ethics/˜The œInternational library of environmental, agricultural and food ethics · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsAnthropocentrismPosthumanismMateriality (auditing)SociologyMaterialismAgency (philosophy)SemioticsPosthumanSocialityAnthropoceneMohawkEnvironmental ethicsEpistemologyCommodificationSocial scienceAestheticsEcologyLinguisticsPhilosophyBiology

Abstract

fetched live from OpenAlex

Abstract Based on recent ethnographic fieldwork at an intensive dairy farm, this chapter examines the usefulness of posthuman critical theory for developing a new sociolinguistic approach to nonhuman animal agency. We explore how dairy cows, as encaged sentient beings whose mobility is profoundly restricted by bars and fences, negotiate their environment as a material-semiotic resource in linguistic acts of place-making. Drawing on the fields of critical posthumanism, new materialism and sociolinguistics, we explain how dairy cows imbue their physical space with meaning through materiality, the body and language. By developing a non-anthropocentric approach to language as a practice of more-than-human sociality, we argue for establishing egalitarian research perspectives beyond the assumptions of human exceptionalism and species hierarchy. The chapter thus aims to contribute towards a new understanding of nonhuman agency and interspecies relationships in the Anthropocene.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0010.003
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 head0.053
GPT teacher head0.246
Teacher spread0.193 · 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