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Enregistrement W82159795

How Much Private Schooling Is Bad for the Public? in Apportioning Public versus Private Schooling, Governments Must Consider the Evidence of Equity in Educational Outcomes That Such Systems Produce

2013· article· en· W82159795 sur OpenAlexaboutno aff
Ben Levin

Notice bibliographique

RevuePhi Delta Kappan · 2013
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGlobal Educational Reforms and Inequalities
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPrivate sectorEquity (law)EconomicsPoliticsPublic relationsPolitical scienceBusinessPublic administrationEconomic growthLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

One of the most contentious issues in education policy is the role of the private sector. Defenders of public education--and I count myself as one--often see private schools as inimical to a strong public education. The worry is that a large private sector will lead to segregation on socioeconomic or other lines as those who can afford it leave the public system, and those in most need are left to attend the weakest schools. The concern is even sharper where profit-making schools are introduced into the equation because of an additional concern that the desire for profit will lead to cutting corners either on quality or on the facilities that students attend. The role of private education has gained much prominence in the international development world as well, largely due to the World Bank's promotion of public-private partnerships as a way to provide education in poor countries. Critics of the Bank argue that this represents a blind faith in market principles, rather than being a position grounded in strong empirical evidence. Positions on these issues are often deeply held, so can be real flash points for political argument. A look at the different ways that private school provision is organized around the world shows how complex these issues are, and how difficult it is to generalize about the nature of private education. Countries vary enormously in the size of their private sector, who attends, how it is organized, how it is financed, and how it is regulated. In some countries, private schools are only a small portion of enrollment; in other countries, quite a large one. In some places, private schools are quite closely regulated; in others, hardly at all. In some countries, private schools--or at least many of them--are funded about equally with public schools, but in other cases at a much lower level or not at all. In some places, private schools are largely for the well-to-do but, in other places, they're for students who can't get into the public schools they want. Consider some examples The Netherlands allows virtually any group to start and govern a school, and all schools are funded by the government using the same formula. A large number of Dutch students go to schools organized by a religious group, an ethnic group, or a group committed to a particular educational approach. But all schools are required to hire qualified staff, follow a common curriculum, and report publicly on the status and progress of their students. In Korea, virtually all students attend public schools, but nearly 70% of them also attend a parallel system of private study schools, called hagwon, after regular school hours. The hagwon may vary greatly in cost and quality; they are seen to play an important role in preparing students for the exams that determine entry to postsecondary education. The Korean government has made many efforts to reduce the importance of the hagwon but with little success. Australia has three sets of schools--public, Catholic, and independent (or private). Public schools are primarily funded and operated by the state governments, but the federal government provides substantial funding to Catholic and independent schools, which have taken an increasing share of the student population in secondary schools, especially in cities. Catholic and independent schools have to follow some, but not all, of the rules governing public schools, such as qualified staff and participation in national testing. There is clear evidence in Australia that the most disadvantaged students are most likely to be in public schools, and a recent report urged state governments to invest more in the public system to reduce widening inequalities. In Canada, though all provinces have some private schools, the rules differ in each province. Most provinces fund private schools at a reduced level from public schools, though Ontario, the largest province, provides no funds to private schools and does not regulate them except in relation to awarding high school diplomas. …

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)0,003
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Communication savante
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 enseignants0,352
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,002
Science ouverte0,0010,000
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 Opus0,215
Tête enseignante GPT0,409
Écart entre enseignants0,194 · 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'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

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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