MétaCan
Menu
Back to cohort
Record W2767946571 · doi:10.1017/heq.2017.29

Creating Segregation in the Era of Integration: School Consolidation and Local Control in New Brunswick, New Jersey, 1965–1976

2017· article· en· W2767946571 on OpenAlexaboutno aff
Chris Rasmussen

Bibliographic record

VenueHistory of Education Quarterly · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsRacial integrationConsolidation (business)White (mutation)DesegregationPolitical sciencePublic administrationSociologyLaw

Abstract

fetched live from OpenAlex

New Brunswick High School, which had been racially integrated for decades, became majority-minority (and soon, all minority) in the 1970s, after years of legal wrangling led hundreds of its students to depart for a new, nearly all-white high school in the adjacent suburb of North Brunswick. White suburbanites invoked “local control” to justify building their own high school and battled against both New Brunswick and the New Jersey Department of Education, which ostensibly supported integration and the creation of larger, consolidated school districts. Black and Latino city residents initially advocated integration but soon renounced integration and demanded “community control” over New Brunswick High. Ultimately, the New Jersey Department of Education permitted the schools in the city and the suburb to become separate, allowing segregation to prevail in the so-called “era of integration.”

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)0.001
metaresearch head score (Gemma)0.002
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 score0.848
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0150.011
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.003
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 head0.017
GPT teacher head0.293
Teacher spread0.276 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueHistory of Education QuarterlySame topicRace, History, and American SocietyFrench-language works237,207