How Happy is Your Meat? Confronting (Dis)connectedness in the ‘Alternative’ Meat Industry
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.
Bibliographic record
Abstract
The rise of ‘happy meat’ and support for small farmers has gained popularity in the alternative food movement in response to concerns about the industrialized meat industry. Looking at slaughter in the alternative meat movement, this article identifies three types of disconnectedness: socio-spatial, aesthetic, and connected. Socio-spatial disconnection is explored here through an analysis of the Mobile Slaughter Unit as a practice of slaughter alternative to industrial scale slaughter. This article uses alternative farms’ web marketing materials to explain aesthetic disconnection occurring in the alternative meat movement. Connected disconnection is understood through a brief analysis of a new phenomenon of ‘do-it-yourself’ slaughter. This article discusses how these three sites of disconnection represent a denial of the actual connections humans share with animals.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it