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Enregistrement W285331495

The Mayors' Charter Schools.

2014· article· en· W285331495 sur OpenAlexaboutno aff
Michael A. Magee

Notice bibliographique

RevueEducation next · 2014
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSchool Choice and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPopulationSocioeconomic statusLiberian dollarAcademic achievementMathematics educationDemographic economicsDisadvantagedPsychologyPolitical scienceEconomic growthDemographySociologyEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

2007, the case could be made that Rhode Island had, dollar for dollar, the worst-performing public education system in the United States. Despite per-pupil expenditures ranking in the top 10 nationally, the state's 8th graders fared no better than 40th in reading and 33rd in math on the National Assessment of Educational Progress (NAEP). Only three other states ranked above the national average in dollars spent but below the national average in student outcomes. Rhode Island's Latino 8th graders, the state's largest and most rapidly growing minority population, were the lowest-performing in the nation, and the achievement gap between Latino and white students in the state was among the nation's largest. [ILLUSTRATION OMITTED] The state's education troubles were hardly limited to urban districts like Providence, Central Falls, Newport, and West Warwick, all of which had per-pupil expenditures well above the state average. Closing the math proficiency gap between poor and nonpoor students at suburban Cumberland High School, for example, would have required raising the share of low-income students who were proficient from 16 percent to 44 percent. And because of low performance among white students in urban districts, a focus on closing school-level achievement gaps was clearly insufficient: closing the racial achievement gap at Central High School in Providence in 2007 would have entailed raising the proficiency rate of African American students from 7 percent to where white students were, at 9 percent. As a motivating goal, it was modest to the point of incoherence. the spring of that year, Cumberland mayor Daniel J. McKee posed a question: What kind of public school system would we have if we could just build it from scratch? At the time, I had recently been recruited to serve as director of Cumberland's Office of Children, Youth, and Learning. He and I were sitting in his office on Cumberland's Broad Street, overlooking the Blackstone River. Broad Street extended south through the cities of Central Falls and Pawtucket. One mile down the road was a public school that had been operating continuously since the mid-19th century. Out the mayor's third-story window was a view of the birthplace of the American Industrial Revolution. The answer to the mayor's question turned out to be academies, highly autonomous, socioeconomically diverse, regional public schools of choice governed by mayor-led boards. The law permitting mayoral academy charter schools freed the schools from Rhode Island's tenure, prevailing wage, and pension laws. It also required the schools to enroll students from both urban and nonurban districts in order to encourage demographic diversity. A mayor from one of the enrollment districts must chair the board of the school, while other board members represent the other enrolling communities. The Schools Rhode Island's basic profile had changed little by the time U.S. Secretary of Education Arne Duncan told a crowd of Rhode Island stakeholders in late 2011, In math, Rhode Island's white students trail Iceland, Estonia, Slovenia. reading, Rhode Island's white students trail Australia, Canada, and Innovation facilitates socioeconomic integration and high performance Belgium ... Rhode Island's white students trail their counterparts in 37 states in math, and in reading, white students here trail their counterparts in 33 states. But thousands of Rhode Island students were gaining new and far better choices for where to attend school. Blackstone Valley Prep (BVP) was the first mayoral academy charter school to open its doors. Some 1,000 students attend three schools: a K-4 elementary school and grade 5-8 middle school are both fully enrolled, and a growing second elementary school currently serves grades K-2. The three facilities are within two miles of each other on the urban-suburban border of their enrolling communities. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut 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: aucune
Score de désaccord entre enseignants0,195
Score d'incertitude au seuil0,653

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,001
Communication savante0,0040,002
Science ouverte0,0010,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,1950,058

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 Opus0,022
Tête enseignante GPT0,326
Écart entre enseignants0,305 · 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 source (Gemma direct ou Codex distillé), 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
Publié2014
Routes d'admission1
Résumé présentoui

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