Bibliographic record
Abstract
‘Terrier work’ is an historical and deeply significant rural practice in the United Kingdom, in which small or medium size terriers are employed to track, capture and kill foxes in the larger context of an organized foxhunt. Between 2007-2009, I spent time following a small group of ‘terrier men’ and their dogs around the East Midlands countryside as part of an ethnographic project on the use of dogs in rural (mainly fox) hunting cultures. A small faction of these terrier men living in England and Wales participate in a quasi-legal hunting subculture. In this paper, and drawing heavily upon animal standpoint theory (Best, 2013), I shift analytic focus in human-nonhuman animal studies away from human constructions/ uses/ meanings of animals in animal ‘blood sports’ (Gillett & Gilbert, 2013), and consider a fox hunting case study from the positions and subjectivities of the animals involved. This reading calls sociologists of sport and physical culture to reconsider how human-animal sports, analyzed from marginalized or silenced standpoints, direct attention to the interplay between power, instincts, and desires involved when species interactively meet.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".