Beyond Human to Humane: A Multispecies Analysis of Care Work, Its Repression, and Its Potential
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.040 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".