Bibliographic record
Abstract
This study addresses the following research questions: How efficient is the judicial process in resolving health and nutrition policy conflicts that inevitably entail a cost-benefit calculus? What are its corresponding policy implications? The case method was used based on an illustrative, landmark decision of the Supreme Court of the Philippines concerning milk formula marketing. Comparative country experiences in implementing the International Code of Marketing of Breast-Milk Substitutes were surveyed for this study. The study underscores the vital initiatives taken by the Philippines as a model for other countries in promoting, protecting, and supporting breastfeeding. However, it finds that the institutional capacities of courts to gather, process, and evaluate health-related information are limited, even when courts adopt a posture of restraint. The adversarial structure of litigation, the assumptions and expectations of litigants and judges, and the normative orientation and methodology of adjudication breed reliance on information asymmetries, as depicted in mathematical equations developed in this study. The study contributes to current scholarship on the judicial process and health marketing by drawing attention to key information asymmetries in litigation and adjudication. It suggests that courts be viewed as a last resort in health and nutrition policy conflicts and advocacy. Political and administrative processes should be revisited for possible accommodation following judicial settlement of policy disputes.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".