Bibliographic record
Abstract
The forms, applications and impacts that biotechnology has requires a nuanced analysis that takes into account both (1) how the technology itself is shaped by society, as well as (2) how the technology shapes society. How biotechnology affects the global food regime depends partially upon the context in which it is created. I examine this issue by describing the role of a single biotechnology, genetic modification, within an international agricultural research centre, CIAT, which is based in Colombia. This paper explores how neoliberal emphasis on private market involvement, streamlined regulatory regimes and strengthened intellectual property rights challenge public researchers attempting to use genetic modification for plant improvement to create ‘public’ goods in a private industry dominated system. Résumé Les formes, les applications et les effets de la biotechnologie nécessitent une analyse nuancée qui prend en compte la façon dont la technologie est influencée par la société ainsi bien que la façon dont la société influence la technologie. De plus, comment la biotechnologie affecte le régime agroalimentaire global dépend partiellement du contexte dans lequel elle est créée. L'auteur examine cette problématique en décrivant le rôle d'une forme de biotechnologie – la modification génétique – au sein d'un centre de recherche international sur l'agriculture, CIAT, situé en Colombie. Ce travail explore les manières dont l'emphase néoliberale sur la participation du marché privé, la rationalisation des régimes réglementaires et le renforcement des droits sur la propriété intellectuelle contestent les chercheurs publics et leurs efforts à améliorer les cultures afin de créer les biens publics dans une industrie dominée par le secteur privé.
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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 | 0.021 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.039 |
| Scholarly communication | 0.021 | 0.011 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 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".