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Record W2151605593 · doi:10.1177/1941406409358564

Breast Milk Versus Formula

2010· article· en· W2151605593 on OpenAlexfundno aff
Roger Lee Mendoza

Bibliographic record

VenueICAN Infant Child & Adolescent Nutrition · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
FundersMcGill University
KeywordsAdjudicationSettlement (finance)Supreme courtAdversarial systemNormativePolitical sciencePoliticsBreastfeedingPublic relationsLaw and economicsLawSociologyBusinessMedicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.262
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2010
Admission routes1
Has abstractyes

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