MétaCan
Menu
Back to cohort
Record W2116214125 · doi:10.1177/1462474513504796

The rule of law, security-development and penal aid: The case of detention in Haiti

2013· article· en· W2116214125 on OpenAlexafffund
Kara Brisson‐Boivin, Daniel O’Connor

Bibliographic record

VenuePunishment & Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsCarleton UniversityUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaUnited Nations Development Programme
KeywordsRule of lawLawCriminal justiceCriminal lawPolitical sciencePunishment (psychology)State (computer science)PovertyTransformative learningInternational lawEconomic JusticeLaw and economicsSociologyPsychology

Abstract

fetched live from OpenAlex

The combination of flawed penality, crushing poverty and a natural disaster that devastated Haiti’s already fragile criminal justice infrastructure made the country a fitting candidate for a new kind of international aid effort, which we call penal aid. This international aid effort uses rule of law theories and practices to develop credible criminal justice institutions and reform penal practice throughout the world. According to rule of law measures, detention indicates flawed justice and a weak state, whereas trial and transformative punishment promotes global security and poverty reduction. The rule of law is a method for punishing better, a mechanism of international aid, a measure of global security and a means for the recognition of law-abiding states. Rule of law reconstruction is about international state-crafting and remaking Haiti in the image of a global penal state.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.327

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0340.017
Scholarly communication0.0070.004
Open science0.0020.007
Research integrity0.0160.018
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.290
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations50
Published2013
Admission routes2
Has abstractyes

Explore more

Same venuePunishment & SocietySame topicGlobal Security and Public HealthFrench-language works237,207