Agriculture: Farmers, Agrifood Industry, Scientists, and Consumers
Bibliographic record
Abstract
The global agri-food system is undergoing a fundamental change in its structure and operation.Until recently, the farm sector in most parts of the world has been protected and managed by farmers and a relatively small and select group of locally based industrial actors, government agencies and academics.A variety of changes after 1980-e.g. the advent of biotechnology, extension of rights to new forms of intellectual property, rise of consumer demand for greater product differentiation and liberalization of both international factor and product markets-have combined to open the farm policy debate to a wider range of actors.Consequently, markets have both integrated and fragmented, such that new issues and conflicts have come to the fore in Canada-U.S. relations.Given the extent of bilateral trade and common international interests, Canada and the U.S. individually and jointly have the opportunity to craft innovative solutions to global problems.
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.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.012 | 0.004 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".