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Record W3016242284

Conceptualizing the Relationship between International Human Rights Law and Private International Law

2019· article· en· W3016242284 on OpenAlexaboutno aff
Mark Hirschboeck

Bibliographic record

VenueHarvard international law journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsPrivate lawHuman rightsPolitical scienceMunicipal lawLawInternational human rights lawInternational lawPublic lawPublic international lawConventionComparative lawLaw and economicsFundamental rightsContext (archaeology)DoctrineSociologyGeography
DOInot available

Abstract

fetched live from OpenAlex

In the domestic context, constitutional and private law regimes sit together in an uneasy posture. To reconcile them, domestic regimes tend to articulate some theoretical mechanism of interaction. For example, in the United States, the state action doctrine attempts to mediate the relationship, while in Canada and Germany, the theory of indirect horizontal effect plays an analogous role. This Note explores the possibility of a corresponding tension at the international level. At least in conceit, private international law and international human rights law regimes exist side-by-side. But they lack a clear framework governing their interaction. Drawing from work analyzing the impact of the European Convention on Human Rights (“ECHR”) on private international law, this essay identifies and evaluates two potential candidates for a mediating mechanism that could operate beyond the European context: the public policy exception and the concept of horizontal effect. Given the widely-perceived issue of rights underenforcement, a clearer specification of the relationship between international human rights law and private international law might offer broader avenues for rights realization.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.045
GPT teacher head0.336
Teacher spread0.291 · 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.

Study designTheoretical or conceptual
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

Citations9
Published2019
Admission routes1
Has abstractyes

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