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Record W2581048211 · doi:10.26522/ssj.v10i2.1350

Beyond Human to Humane: A Multispecies Analysis of Care Work, Its Repression, and Its Potential

2016· article· en· W2581048211 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueStudies in Social Justice · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEmbodied cognitionVisionSociologyWork (physics)Environmental ethicsOrder (exchange)Social justiceEconomic JusticeConsumption (sociology)Care workPublic relationsLaw and economicsPolitical scienceBusinessEpistemologyLawSocial science

Abstract

fetched live from OpenAlex

This paper approaches care work through a multispecies and interspecies lens, and challenges readers to expand both their analysis and their ethical considerations in order to include animals. First I present a conceptual framework to help illuminate and unpack the care work animals do in the wild, in homes, and in formal workplaces. I then highlight the complex ways animals’ bodies, minds, and families are involved in the production of commodities for human consumption, and the implications of such practices for animals’ own forms of caregiving. Unfortunately, the fact is that for many animals, their primary experiences of care work are its repression. As a result, in the final section, I offer food for thought about the potential for care work to not only involve more empathetic embodied interactions and labour processes, but to be a springboard for expanded visions and projects of social justice which include humane jobs and recognize that “the social” is multispecies.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.039
GPT teacher head0.421
Teacher spread0.383 · 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