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Record W3023173949 · doi:10.6000/1929-4409.2013.02.12

Incarcerated Foreign Minors in Italy: How to Treat them?

2013· article· en· W3023173949 on OpenAlexvenueno aff
Ignazio Grattagliano, Andrea Lisi, Massaro Ylenia, Valentina Stallone, Campobasso Filippo, A Cannito, Christian Signorile, Nicola Petruzzelli, Roberto Catanesi

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2013
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsMinor (academic)RecidivismJuvenileGeneral partnershipEconomic JusticeOrder (exchange)CriminologyPsychologyPolitical scienceLawBusiness

Abstract

fetched live from OpenAlex

The aim of this study is to provide data regarding the treatment of foreign juveniles in the Italian justice system. The authors examined the records from juvenile detention centers and primary juvenile reception centers in Italy in order to gain a better understanding of how foreign minors are treated with respect to their Italian counterparts. Statistical analysis was then carried out and the results revealed many inequalities. The authors believe that it is important to create secondary and tertiary prevention services in order to decrease the likelihood of recidivism, and to promote the minor’s integration into the social fabric of their adopted country. Foreign minors are more frequently placed in jail than their Italian counterparts. The authors conclude that only through the development of a united partnership can a welcoming network be created: one that is able to pick up on the first signs of trouble that often confront foreign minors.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.077
GPT teacher head0.356
Teacher spread0.279 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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