‘Finprint’ technopolitics and the corporatisation of global food governance
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 Our concern in this paper is the environmental ‘footprinting’ of food and its role as a source of technopolitical power in global food governance. Our case is the highly industrialised farmed salmon sector which currently generates metrics and carefully curated visualisations to promote this fish as a more sustainable and ‘climate friendly’ protein relative to animal protein produced on land. We show how these metrics and visualisations depend on an industrial production and measurement infrastructure. Significantly, this infrastructure and the metrics that it generates is being promoted as a ‘climate smart’ solution to small‐scale and extensive aquaculture in the Global South. Salmon aquaculture industry proposals for the transfer of technology from salmon farming to global aquaculture are explicitly articulated in global food governance and other institutional spaces. While there may be frictions in the transfer of salmon aquaculture's infrastructure of measurement to aquaculture in the Global South, our analysis suggests that environmental footprinting of food—and its associated measurement infrastructure—may be an emerging source of technopolitical power in increasingly corporatised global food governance systems.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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