The State, Civil Society, and the Canadian Agricultural Biotechnology 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
There are complex ways in which agricultural production, biotechnology, and the interventions by the state and civil society are interconnected. Advanced capitalism is characterized by a general (albeit temporally and spatially uneven) tendency towards technological change in its various forms. In contemporary times, biotechnology is one such form. As with all forms of technology, its emergence is a contradictory process. As an industrial phenomenon, biotechnology may be seen as an opportunity for individual segments of the capitalist class for accumulation of exchange value as well as a capitalist growth strategy at the sectoral level. Its emergence is indicative of an instantiated counter-struggle on the part of specific capitals against impinging price competition in the agricultural industry and, at a macro-scale, of the intensifying decline in the rate of profit in advanced industrial economies. The emergence and utilization of biotechnology both as a means of production and as a means of increasing (monopolistic) profit is part of a wider process of market-oriented reforms in the agrarian sector occurring at national and international scales. However, interventions on the part of the state which generally tends to play an enabling role, and of civil society whose aim is to at least partly resist the expansion of the market for biotechnology, have not ceased, so the outcomes of market-based restructuring in general and the use and consequences of biotechnology in particular are anything but automatic. The argument is illustrated with empirical evidence from the development, adoption, and production of agricultural biotechnology in Canada.
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 | 0.000 | 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 | 0.002 | 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) | 0.000 | 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