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Enregistrement W829156627

All Together Now: Metro Detroit Is in a Period of Unprecedented Diversity

2013· article· en· W829156627 sur OpenAlexaboutno aff
James D. Dickson

Notice bibliographique

RevueJournal of Law and Society · 2013
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueUrban, Neighborhood, and Segregation Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWhite (mutation)Diversity (politics)RhetoricIrishQuarter (Canadian coin)PopulationSociologyReal estateBeneficiaryCommissionPolitical scienceLawHistoryDemography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Table of Contents I. ORIGINAL SIN. II. MACOMB COUNTY: BENEFICIARY OF BOTH BLACK AND WHITE FLIGHT III. SOUTHFIELD AND LIVONIA--A TALE OF TWO CITIES IV. SCHOOLS OF CHOICE V. HOPE FOR THE FUTURE I. ORIGINAL SIN It is impolitic to say at a time when the language of even playing fields and colorblindness and merit loom so large as to become public policy, and the rhetoric of equality of opportunity and level playing fields is so intoxicating that people believe equality of opportunity actually exists, but for a large portion of Metro Detroit's history, black people and white people have lived separate lives with divergent destinies. Before the growth of the suburbs, Detroit was Balkanized into ethnic neighborhoods. Blacks were more or less restricted to the center city area prior to 1950. (2) Jews, Poles, Italians, the Irish, and many more groups all had neighborhoods of their own. Until the late 1950s, the official policy of the Detroit Housing Commission was segregation, and attempts to create public housing for all people were shut down. Residential maps, from the 1930s on, tell the story of a black population that was boxed into ghettoes and only slowly fanned out into Detroit's stronger neighborhoods, eventually extending into the suburbs as the legal system, real estate practices, and economic opportunities opened doors that were once closed. (3) It all starts with housing. Where you live determines the worth of your home and which schools your children will attend. Bad schools tend to reside in bad neighborhoods. The school your children attend plays a big role in determining their lot in life, including college attendance and hire-ability in the job market. Restricting blacks to the worst neighborhoods with the worst schools ensured that they would grow up separate and unequal; a permanent underclass. Black residents of Metro Detroit have enjoyed lower social mobility than whites throughout the region's history. (4) When Dearborn was a boomtown and Henry Ford couldn't hire men for his factories fast enough, Ford made sure to prop up the neighboring city of Inkster as a bedroom community for black workers that no one wanted to see live in Dearborn. (5) Cities such as Warren, Dearborn, Livonia, and pretty much all of Macomb County were basically all white well into the 1970s. (6) Downriver Wayne County communities integrated even more slowly. (7) Some, such as Allen Park and Wyandotte, are still over 90 percent white today. (8) Macomb County did not have black residents in any meaningful numbers until the 1990s. (9) Just as blacks were once denied entry into the City's finest neighborhoods, even if they were able to overpay for housing, they were all but locked out of the suburbs--aside from cities like Inkster, Highland Park, and Pontiac--until very recently. Even if blacks have been late to the party on fleeing Detroit and embracing the safety and strong schools of the suburbs, they have made up for lost time. Formerly all-white communities such as Eastpointe, Roseville, Warren, and Center Line all boast black populations at or above ten percent these days. (10) Others, like Livonia and Dearborn, are approaching five percent. (11) These numbers are only likely to increase as seniors move on or pass away, and as the under-twenty minority population, currently at twenty-four percent in Macomb County, comes of age. (12) As metro Detroit now stands, it is in a period of unprecedented diversity. II. MACOMB COUNTY: BENEFICIARY OF BOTH BLACK AND WHITE FLIGHT I think we have a kind of frontier mentality that still prevails ... that if we can foul up an area and then move on, and if we can get away from that area which we have used up--well, this is fine for us, and let the other guy look out for himself ... we tend to look back with disgust at that which we have helped to decay, deteriorate. …

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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,134
Score d'incertitude au seuil0,593

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
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 Opus0,032
Tête enseignante GPT0,289
Écart entre enseignants0,257 · 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

Citations1
Publié2013
Routes d'admission1
Résumé présentoui

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