Approaching Food Security In A Multidimensional Legal Paradigm: A Critical Study
Bibliographic record
Abstract
Gradually, the problem of famine started plaguing certain countries on a regular basis. They started looking for assistance from developed nations such as Canada, United States etc where there was sufficiency of food grains. A commitment to the right to food was articulated in the International Code of Conduct on the Human Right to Adequate Food, initially proposed before the World Food Summit. The international community has identified the reduction of poverty and hunger as one of the overarching goals for development policy in the new millennium. Biotechnology must also sustain established productive capacities in the face of environ mental and bioterrorist challenges, overcome nutritional shortcomings of existing foods and improve National Gross Domestic Products (GDPs). The “Human security” concept focuses upon a canvas consisting of various normative frames for global policy making which prove to be the litmus test of minimum requirements. The pace of implementation of policies might be varied but these defined minimum requirements demand their incremental progression and ultimate realization. Food security cannot be ensured only by increasing the per head availability of food grains. The definition aspect of the right to food is all differently defined by various organizations. It is to be understood, that a definition all-inclusive has to be referred which consists of factors like accessibility, sustainability etc.
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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 | 0.020 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.018 | 0.080 |
| Scholarly communication | 0.022 | 0.039 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.010 | 0.017 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".