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Record W4401856133 · doi:10.1093/ejil/chae040

When the Sun, the Moon and the Stars Align: Litigating LGBTQIA+ Rights and the Death Penalty in East Africa and the Caribbean

2024· article· en· W4401856133 on OpenAlexaff
Salvatore Caserta, Mikael Rask Madsen

Bibliographic record

VenueEuropean Journal of International Law · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsCentre for International Governance Innovation
FundersDanmarks GrundforskningsfondNational Research Foundation
KeywordsStarsPolitical scienceAstrophysicsPhysics

Abstract

fetched live from OpenAlex

Abstract This article analyses LGBTQIA+ rights and death penalty litigation in the Caribbean and East Africa before and after the establishment of new regional international courts. LGBTQIA+ rights and the death penalty are both difficult and contested issues where global movements and litigation strategies easily clash with local sentiments. For litigation to have an impact in such issue areas, the article finds that three elements must align. First, there is a need for new institutional opportunities such as new judicial venues or laws. Second, there is a need for coordinated legal strategies that can utilize the available legal venues. Third, there is a need for a societal momentum for the cause, or at least the absence of strong political contestation against the cause. In our study, the establishment of new regional courts provided institutional opportunities that could be seized by transnational litigation networks. And as international courts operate at a distance from local politics, they have created a more neutral international legal opportunity structure. In the two regions and across the two issue areas studied, these three elements were most clearly aligned regarding death penalty litigation in the Caribbean and the least aligned regarding LGBTQIA+ litigation in East Africa.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.273
Teacher spread0.249 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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