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Learning Deserts: Bold Transformation Plans Are Necessary If We Want to Prevent More Urban Communities from Becoming Learning Deserts

2011· article· en· W848620035 sur OpenAlexaboutno aff
Mónica Martínez

Notice bibliographique

RevuePhi Delta Kappan · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSchool Choice and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésQuarter (Canadian coin)Economic growthGeographyBusinessPolitical scienceEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

[ILLUSTRATION OMITTED] If you've always lived near a grocery store, you may not know that many communities across the United States have limited or no access to foods needed to maintain a healthy diet. Known as food deserts, these communities are typically urban areas with a high level of racial segregation and large numbers of low-income households, or in rural areas. Residents are more likely to find fast-food restaurants or convenience stores than a grocery store (Imhoff and Pollan 2007). In a similar way, many of these same areas could be considered deserts--communities devoid of learning resources. These are communities that have many low-performing schools and a record number of school closures. In other words, they have limited or no access to the education needed to maintain a healthy lifestyle. According to the American Association of School Administrators, about 6% of schools were closed or consolidated in 2009-10, compared to 3% in 2008-09. AASA even predicts that 11% or more of the districts will close additional schools (Ellerson and McCord 2009). Dramatic school closures across urban districts this year have made major headlines. In Detroit, emergency financial manager Robert Bobb, who was sent in by the state to address declining enrollment and a budget deficit of more than $219 million, developed a to close a quarter of the city's 172 public schools over time. Detroit had previously closed 29 schools before classes started last fall. In that same month, Cleveland, Chicago, and Kansas City, Mo., also announced future school closings. In a 5-to-4 vote, the Kansas City school board decided to close nearly half of the district's 61 schools as a way to avoid bankruptcy. This doesn't include the unprecedented number of school closings in New York City since 2002 and continued downsizing in Denver, St. Louis, and Milwaukee. All of these closures stem from two problems: significant budget shortfalls as a result of declining enrollment and perpetual underperformance of multiple schools. For instance, Milwaukee Public Schools has closed about six schools each year since 2005 because of decreasing enrollment. Detroit's population has declined with each passing decade. The 2010 U.S. Census is expected to show that Detroit now has far fewer than 900,000 residents. Enrollment in the Detroit Public Schools has dropped from 164,500 in 2002-03 to 87,700 for the current school year--and is expected to decline further to 56,500 in 2014-15. Kansas City had only 18,000 students, projecting that 40% of its available seats are vacant at elementary schools, 60% are vacant in middle schools, and more than 60% are vacant in the high schools. Transforming Districts Cleveland has about 50,000 students, down from 78,000 over a decade ago, but most important, most of the city schools have been in academic emergency for multiple years. So, while Cleveland is planning to close one-third of its schools, district CEO Gene Sanders has made the school closings part of a larger transformation plan designed to make sure students are ready to graduate and compete for jobs, to have high-quality school choices in every neighborhood, to create measures of accountability for administrators, to attract as well as retain families and right-size the district's capacity (Crowder 2010). The went beyond declining enrollment and budget cuts but signaled hope and vision for teaching. Cleveland created the Office of New and Innovative Schools, supported in concept and cost by the Cleveland and George Gund foundations. The was comprehensive and schools are categorized for different actions--Growth, Refocus, Repurpose, Close, Open, or Relocate. Schools will be managed differently depending on their action category. The Cleveland Plan seeks to spread innovation, opening new proven school models and partnering with proven providers. The high school strategy, for example, will focus on breaking down struggling comprehensive high schools into academies that will serve 400 to 600 students and offer a portfolio of choices in all three regions of the city. …

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 candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,158
Score d'incertitude au seuil1,000

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 technologies0,0020,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,075
Tête enseignante GPT0,306
Écart entre enseignants0,232 · 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.

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

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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