Narrowing the Achievement Gap in a (Re) Segregated Urban School District
Bibliographic record
Abstract
The interplay between sociopolitical forces and economic agendas becomes apparent when one examines the June 28, 2007 United States Supreme Court Decision, Parents Involved In Community Schools v. Seattle School District. In a reversal of the 1954 Brown Decision, the United States Supreme Court ruled that public schools could not use race as a factor when assigning children to public schools. Given demographic shifts, globalization, economic instability, and ideological shifts, the reversal was expected. However, it is essential that policymakers, educators, and other stakeholders consider the impact of attending segregated schools on the achievement gap that continues to exist between minority groups and European Americans attending resegregated neighborhood schools. This book will focus on the test score gaps between African American and European American students. The achievement gaps between these two groups will be analyzed will be presented and elaborated. Additionally, the authors will analyze how changes in school characteristics such as: racial composition; school composition; school expenditures, and socio economic level of neighborhoods affect achievement gap trends in the Norfolk School District. An examination of the achievement gap trends in an urban school district will serve to better inform public policy and school reform efforts. The specific goals of this book are to describe the achievement gap between minority African-American students and European-American students in the Norfolk school district and to present strategies utilized by urban districts to narrow the gap. One unique feature of this book is that it provides a data-driven research-based analysis of the achievement gap between minority and European-American students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".