Bibliographic record
Abstract
Abstract The article discusses the impact of state false compliance on the translation of international norms. Using the implementation of the free, prior, and informed consent ( fpic ) norm in Paraguay as an example, it aims to demonstrate how false compliance hinders the meaningful translation of norms into practical mechanisms, policies, and laws, ultimately silencing indigenous voices. The paper focuses on Paraguay as a case study of a “false-ratifier,” a state that appears to comply with international treaties but does not genuinely adhere to their objectives. While Paraguay ratified relevant conventions and adopted protocols related to fpic , its actual commitment to this norm remains limited. The state’s interpretation and implementation of fpic are influenced by a production-oriented perspective, leading to consultations that lack genuine consent. In Paraguay’s case, the state’s fpic implementation remains superficial, negatively impacting the ability of indigenous peoples to participate effectively. The main argument presented is that compliance extends beyond ratification; it involves the translation of international obligations into national laws and policies. False compliance can result in insufficient translation, enabling states to evade their responsibilities while maintaining the appearance of compliance. This approach can impede non-state actors from holding the state accountable, as demonstrated in the Paraguayan case.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".