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Record W3124501271

Does Local School Control Raise Student Outcomes?: Evidence on the Roles of School Autonomy and Parental Participation

2009· preprint· en· W3124501271 on OpenAlexaboutno aff
Victoria Gunnarsson, Peter F. Orazem, Mario A. Sánchez, Aimee Verdisco

Bibliographic record

VenueIowa State University Digital Repository (Iowa State University) · 2009
Typepreprint
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyEndogeneityJurisdictionCurriculumHuman capitalControl (management)Test (biology)Political scienceEconomicsEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

As early as 1962, international agencies such as the United Nations and the World Bank were advising that the decentralization of public service delivery could serve as a development strategy. The strategy has become even more prominent over the past 15 years, particularly in education.1 Decentralization efforts in developed countries include various programs in Australia, Canada, New Zealand, Spain, the United Kingdom, and in at least 44 states in the United States. Among the developing countries, Burkina Faso, Brazil, Chile, Colombia, El Salvador, Honduras, India, and Nicaragua have introduced new programs aimed at devolving power to the local schools. Even the autocratic government in Pakistan initiated an effort to devolve responsibility for school management to local authorities, removing a functioning democracy as a necessary precondition for school decentralization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.004
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.269
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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