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Record W1975111765 · doi:10.1163/1568530054927771

Pigs and People: Sociological Perspectives on the Discipline of Nonhuman Animals in Intensive Confinement

2005· article· en· W1975111765 on OpenAlexaboutno aff
Joel Novek

Bibliographic record

VenueSociety and Animals · 2005
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSocializationHumanismSociologyParallelsReproductionPerspective (graphical)Norm (philosophy)Environmental ethicsIndustrial societyAnimal welfareSocial scienceEpistemologyPolitical scienceBiologyLawEcologyAnthropologyOperations managementEngineering

Abstract

fetched live from OpenAlex

Abstract Highly concentrated intensive confinement systems have become the norm in agriculture concerning nonhuman animals. These systems have provoked a lively debate from an animal welfare perspective. Sociologists can contribute to this debate by drawing parallels between the institutional regulation of human beings and of animals under confinement. Results of research on the transformation of Canadian hog production from the 1950s to the present—based on the evolution of plans for sow housing produced by the Canada Plan Service—showed a much tighter compression of hog bodies and reproduction in space and time. The prevalence of behavioral stereotypes, however, indicates imperfect animal socialization and reconfiguration. The concept of discipline is a useful perspective that could bridge the gap between the regulations of humans in industrial societies and of pigs in intensive confinement. This concept derived from elements of labor process and Foucauldian and post-humanist theories.

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)0.009
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.074
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0030.003
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 head0.064
GPT teacher head0.344
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; 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 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

Citations36
Published2005
Admission routes1
Has abstractyes

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