What does One Health want? Feminist, posthuman, and anti-colonial possibilities
Bibliographic record
Abstract
What does One Health want? Despite its touted interdisciplinarity, to date there has been limited engagement with the social sciences and humanities - in particular with streams of critical social theory that enable a response to this question. In this paper we draw on the critical social sciences to consider how One Health is defined, conceptualized, and positioned, and discuss what we see as vital challenges within One Health that both limit its potential for meaningful change and contribute to a potential for ongoing harm - namely, medicalization, anthropocentrism, and colonial-capitalism. We then advance three areas in the critical social sciences that hold potential for addressing these challenges - feminist, posthuman, and anti-colonial approaches. By doing so we seek to encourage a deeper transdisciplinarity within One Health - one that is open to a genuine engagement with insights from critical social theory and a re-orientation towards more creative and radical re-imaginings in the service of wellbeing for diverse peoples, animals, other beings, and the land.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.023 | 0.030 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".