Internally Displaced Persons and Indigenous Peoples: The Necessity of a Special Protection Regime (Desplazamientos Internos Y Pueblos Indígenas: Sobre La Necesidad De Un Régimen De Protección Especial)
Bibliographic record
Abstract
The situation of internally displaced persons (hereinafter IDPs) around the globe is getting worse by the minute. The international community has responded by creating norms that ban the actions of belligerents (during armed conflicts) and States (in times of peace) which produce the unlawful displacement of people. However, an important part of the IDPs in the Americas are Indigenous Peoples; and even though there are some specialized norms for protecting them of the displacement, those norms focus exclusively in the proprietary interest of Indigenous peoples. I will use a philosophical approach to explore the necessity and possible content of a special IDP-protection regime for Indigenous Peoples. I will pay special attention to the situation and solution presented in the Moiwana v. Suriname case before the Inter-American Court of Human Rights; but without loosing sigh from the fact that the protection granted to Indigenous Peoples in this case came from a remarkably broad interpretation of the American Convention on Human Rights.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.042 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".