Follow the Money: Charter Schools and Financial Accountability
Notice bibliographique
Résumé
Charter schools are an important and growing part of the nonprofit sector but the financial accountability and governance of the schools have received little attention from regulators or scholars. Highly publicized scandals of nonprofits have sparked strong interest in governance of nonprofits generally and have led to increased regulation. Charter schools receive more than $9 billion in public funds annually and the risk of improper use of that money merits attention. Although the charter school movement and the concerns it raises are national, this article focuses on Philadelphia as an example. In 2011-2012, one quarter of the public school students in Philadelphia attended charter schools. The Philadelphia School District provided $525 million to the 82 charter schools in the city. The vast majority of those schools also received funds from the state and federal governments as well. The District is expecting the percentage of students in charters to increase to forty percent in the near future. The article examines the weaknesses of the existing oversight system which relies primarily on disclosure of information to the School District and other governmental agencies, all of which lack adequate resources to respond effectively to the disclosures. The goal is not to enter the debate about the educational value of charter schools but rather to focus on how the schools fit into the larger debate over governance of nonprofits. Charter schools share the same challenges of overreliance on disclosure instead of enforcement of rules, insufficient education and training of board members, and a lack of transparency. Nineteen Philadelphia charter schools have been the subject of criminal investigations by federal authorities, resulting in seven convictions and one suicide. The article reviews the issues raised by the available documents which raise questions about the salaries of school officials; the complex relationships between many schools and their founding agencies; the widely varying expenditures for legal representation, accounting, and management; and the concerns about conflicts of interest raised in some cases. The article proposes increased funding for oversight, use of more nuanced tools than just revocation of the charter, greater transparency by the schools, and greater emphasis on board training.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,009 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».