Bibliographic record
Abstract
The urgency of securing food supply has increased dramatically in a period when the GFC, environmental degradation, global warming and the rapid increase in industrialised food production has revealed the fragility of the world’s food production systems. In July 2012, Australia published its first Green Paper on food security. noting; ‘in the next 30 years the world will have to produce 70% more food to feed the world’s growing population’.[1] In the same month, the US Congress commenced a legislative debate about policy directions and public funding through taxation for farm subsidies to American primary producers. In May 2012, The Canadian government introduced the first National Food Strategy, to manage failures of the social security system to provide adequate and nourishing food to around 800,000 Canadians. In July 2013, the Indian government issued an ordinance to give the nation’s population the right to get 5kgs of food grains every month at highly subsidised rates. This will be the biggest food security program on the planet. Food policy involves vital challenges in humanitarian, health and environmental law. Food law and governance plays an important role in facilitating the transition to sustainable agriculture and food security. The Centre for Commercial Law is embarking on a project to produce international publications, colloquia, presentations and research analysing and proposing reform to areas in food law. Our mission is to conduct research and publishing in the vital area of Food Governance and Food Security policy making, celebrating food, local terroir and its relationship with society. The Centre provides legal studies of culinary modernism, tourism, restaurants, the gourmet and health aspects of food, wine and trade law. Our first contribution, the fruit of a successful Colloquium on Food and Law in 2012, is on Champagne and Geographical Indications. It is both informative. enjoyable and a little long on taste, like a fine wine. [1] National Food Plan, DAFF, 2012
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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 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".