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Enregistrement W106412018

Neoliberalism, Illiteracy, and Poverty: Framing the Rise in Black Women's Incarceration

2009· article· en· W106412018 sur OpenAlexaboutno aff
Mary V. Alfred, Dominique T. Chlup

Notice bibliographique

Revue˜The œWestern journal of black studies · 2009
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHomelessness and Social Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImprisonmentFunctional illiteracyPopulationPovertyMass incarcerationCriminologyPrisonFraming (construction)Criminal justiceUnemploymentSociologyPolitical scienceLawEconomic growthDemographyGeographyEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

huge expansion of the criminal justice system in the United States over the past thirty has replaced social welfare programs with mass (Sturr, 2006). According to Angela Davis (1998), imprisonment has been the response to the social problems confronting individuals caught in the cycle of poverty. As Davis further contends, These problems often are veiled by being conveniently grouped together under the category crime and by the automatic attribution of criminal behavior to people of color. Homelessness, unemployment, drug addiction, mental illness, and illiteracy are only a few of the problems that disappear from public view when the human being contending with them are relegated to cages (1998, para 1). As of June 30, 2008, state and federal correctional systems had legal authority over 1,610,584 prisoners and 785,556 inmates were being held in local jails (Bureau of Justice Statistics, 2009). These figures represent an increase of 0.8% during the first six months in 2008 compared to 1.6% increase during the same period in 2007. Similarly, there was an increase of 0.7% in the local jail population during the same period in 2008 accounting for the slowest in 27 years (Bureau of Justice Statistics, p. 1). Since sixteen states actually reported a decline in the number of prisoners, the Bureau of Justice Statistics declared that the growth in prison and jail populations is slowing (2009, p. 1). In a display of differing interpretations, during the same month the Bureau released its figures, an article entitled Prison Population Explodes (Hales, 2009) was published in Workers World. Hales' interpretation of the numbers was based on a Pew Center report that presented incarceration profiles by states. Unlike the bureau of Justice that profiles adult incarceration rate, the Pew Center calculates the incarceration rate using the total population rather than the adult population as the denominator (Liptak, 2008). These two contrasting headlines, published within three weeks of each other, suggest that the prison population debate is one of extremes. Prisoner advocates see the numbers as significantly high; whereas, justice agencies highlight the drop in incarceration rates and focus on what they term slow growth. The fact remains the United States has an overall incarceration rate of 750 per 100,000--the highest in the world (Hales, 2009). The next highest rate, Russia is 529 per 100,000, while Canada's rate is 116 per 100,000 (Sturr, 2006). According to Hales, The U.S. prison population accounts for 25% of the world's prison population. Even though the U.S. historically has been called the land of the free, the incarceration statistics indicate a different reality. This reality is especially harsh for people of color. For instance, while the rate of incarceration for Caucasian men is 990 per 100,000, Black men face much higher incarceration rates of 4,919 out of 100,000 (Sturr, 2006). Compare that to South Africa, a country that at the height of apartheid only incarcerated 851 Black males per 100,000 (Soering, 2006). Peeling Back the Layers When one analyzes the data on the imprisoned through race, class, and gender, it becomes clear that women of color are overrepresented in the prison and jail system. According to Minton and Sabol (2009), female incarceration rates, while still lower than male incarceration rates, have increased 33% since midyear 2000. While a 33% increase in under a decade may seem shocking, this figure seems mild when one learns that women's imprisonment in the United States has seen a 2,800% increase from 1970 to 2001 (Sudbury, 2005). Black women are the ones most impacted by these staggering statistics. They are incarcerated at a rate of 349 per 100,000, which means they are twice as likely to be incarcerated as Hispanic females (147 per 100,000) and are over 3. …

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)0,001
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: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,424
Score d'incertitude au seuil0,473

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,045
Tête enseignante GPT0,392
Écart entre enseignants0,346 · 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'étudeQualitatif
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

Citations29
Publié2009
Routes d'admission1
Résumé présentoui

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