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Enregistrement W215751720

Race, Ethnicity, Crime, and Justice: An International Dilemma

2009· article· en· W215751720 sur OpenAlexaboutno aff
Nola Holness

Notice bibliographique

RevueJournal of cultural diversity · 2009
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCrime, Illicit Activities, and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDilemmaCriminal justiceColonialismEthnic groupCriminologyEconomic JusticeRace (biology)RacismSociologyGlobePolitical scienceGender studiesLawPsychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

BOOK REVIEW: RACE, ETHNICITY, CRIME, AND JUSTICE: AN INTERNATIONAL DILEMMA Gabbidon, S. M. (2010). Race, ethnicity, crime, and justice: An international dilemma. Thousand Oaks, CA: Sage. (ISBN 978-1-4129-4988-0, paperback, $ 34.95; 241 pages) For over 10 years, Dr. Shaun Gabbidon, the son of Jamaican parents who was born in England and raised in the United States and is currently a Professor of Criminal Justice at Penn State University, has studied race and crime. In his latest book: Race, ethnicity, crime, and justice: An international dilemma, Gabbidon posits that colonialism has been a huge contributor to the development of criminal actions in racial minorities. He lays claim to the singular importance of colonialism on the justice system and racial minorities worldwide. Gabbidon positions colonialism at the forefront of racial and ethnic challenges in post colonial societies today. Gabbidon credits his interest in colonialism and its impact on the international community in terms of race, ethnicity, and justice to the works of pioneers, namely Marshall, Tatum, and Agozino. These authors, according to Gabbidon, gave him a broader perspective on the pervasive nature of race and its influence on crime and the justice system on an international basis. Gabbidon's exposure to the colonial model has now been extended past the boundaries of the United States to encompass the entire world. With such a background, he wrote this book. Gabbidon's objectives are to offer exposure to the scope of the race and crime interrelations around the globe and to compare and contrast the experiences of racial and ethnic minorities in the highlighted countries. He affirms that colonialism has shaped societies around the world. The author sees the brutal processes of colonialism as having an impact on racial minorities within the judiciary system today on a worldwide basis. Gabbidon further states that because of the colonial process of invasion and control, race based societies are created where the indigenous culture is suppressed, natives have less political power, and the criminal and justice systems are utilized to maintain control. The research and discussion in this book are centered on Great Britain, the United States of America, Canada, Australia, and South Africa. Each country is described by its early history, current conditions, and crime and justice among racial and ethnic groups. Gabbidon aims to discover the extent of the race and crime problems around the world. The author states that these countries were selected because they all had a strong colonial history with long and short term effects on crime and justice among racial minorities. In Chapter 1, Gabbidon reviews the colonial model as the context for a discussion and investigation of race and crime in each country. In subsequent chapters, he highlights each country's racial and ethnic history, current demographics, and specific crime and justice problems. He concludes by comparing and contrasting race and crime in the specified countries. The author provides substantial data to support his claims regarding the status of race and crime among the citizens of the countries, with particular attention to ethnic minorities. In this book, race is determined by color, biological notions, genetic inheritance, and specific traits. Ethnicity is associated with a group's cultural traditions, geographical ties, common language, and other commonalities. According to Gabbidon, there are five races: Ethiopians (i.e., African or Negroid), Mongolian (i.e., Asian), American (i.e., American Indian), Malaysian (i.e., Pacific Islander), and Caucasian (i.e., White) based on the classification by Linnaeus (1806) and Blumenbach (1865). While there are slight DNA differences in these groups, the author contends that the findings from the Human Genome Project confirmed a 99.9% common human genetic makeup. Different countries use various terms to describe their ethnic minorities such as people of color, visible minority, or new minority. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,713
Score d'incertitude au seuil0,500

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,058
Tête enseignante GPT0,356
Écart entre enseignants0,298 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations33
Publié2009
Routes d'admission1
Résumé présentoui

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