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Record W207878317 · doi:10.1177/105678791102000104

Social Upheaval and School Reform

2011· article· en· W207878317 on OpenAlexaff
Brian R. Beabout, Helga Stokes, Eleoussa Polyzoi, Alison A. Carr‐Chellman

Bibliographic record

VenueInternational Journal of Educational Reform · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsResearch Manitoba
Fundersnot available
KeywordsDecentralizationSociocultural evolutionCzechSocial changeLeverage (statistics)SociologySchool systemPolitical sciencePedagogyPolitical economyEconomic growthLaw

Abstract

fetched live from OpenAlex

This analysis of postupheaval educational change examines the extent to which massive changes in a school system's sociocultural environment lead to changes in the structure and practice of schooling. Framed broadly within systems theory and complexity theory, this examination of two cases of postupheaval educational change—post-1989 Czech Republic and post-Katrina New Orleans—reveals striking similarities. In each case, school systems witnessed immediate decentralization and increased outside influence. Also in each case, some groups were able to successfully leverage social upheaval into positive educational change. These groups appear to have been successful when they had a coherent vision of a new system already in place when upheaval struck or if they had particular aspects of the old system that they sought to rectify. A discussion of the theoretical implications for educational change in highly turbulent social contexts and recommendations for reformers in New Orleans conclude the article.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0080.022
Scholarly communication0.0050.003
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.171
GPT teacher head0.441
Teacher spread0.270 · 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 designQualitative
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
Published2011
Admission routes1
Has abstractyes

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