Risky (Agri‐) Business: Risk Assessment, Analysis and Management as Bio‐political Strategies
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
Abstract This article explores risk assessment, analysis and management as strategic responses to the threat of animal disease outbreaks. Such strategies, and the techniques, technologies and practices they give rise to, are conceptualised here as thoroughly bio‐political strategies which induce particular disciplinary effects. These effects are critically explored along three key analytical dimensions: space, place and mobility. This analysis is carried out through a deconstructive reading of both the discourses and practices associated with risk assessment, analysis and management. Whilst the deployment of these strategies acts to classify, categorise, control, order, render visible, distribute (or fix) in space, a heterogeneous array of agents (human and non‐human) and objects, as the article argues, these strategies do not merely delimit or inhibit. Rather, their deployment effects a proliferation of opportunities for resistance, negotiation, transgression and misappropriation, not to mention technical failure. Such strategies are therefore characterised as much by congenital failure and indeterminacy as by efficacy and completion.
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 | 0.000 |
| 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 | 0.001 |
| 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 it