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Record W892139893 · doi:10.1177/0096144215583984

“Crucial to the Survival of Black People”

2015· article· en· W892139893 on OpenAlexaff
Rowena I. Alfonso

Bibliographic record

VenueJournal of Urban History · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBlack PowerDeindustrializationDignityPost-industrial societyIndependence (probability theory)Power (physics)Civil rightsPolitical scienceSociologyLawHistoryArchaeology

Abstract

fetched live from OpenAlex

“This is a Black Paper,” declared BUILD’s statement criticizing the Buffalo Public School system for providing inferior education to black children in Buffalo, New York. Written in 1967 by the community organization, BUILD (which stood for Build Unity, Independence, Liberty, and Dignity), “BUILD Black Paper Number One” was a call for change. Like other black communities in late 1960s America, black Buffalo was caught up in the fervor of the Civil Rights and Black Power Movements. A “Rust Belt” city, Buffalo was hit hard by deindustrialization, which, coupled with unemployment, segregated housing and unequal education, adversely affected its black community. In 1967, a riot exploded in Buffalo’s predominantly black East Side. This article analyzes statements made by black Buffalonians and argues that Black Power thrived in Buffalo in the late 1960s, through community organizations which attempted to address urban issues that negatively affected African Americans in a postindustrial city.

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)0.002
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0170.014
Scholarly communication0.0040.003
Open science0.0000.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.040
GPT teacher head0.278
Teacher spread0.238 · 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
Published2015
Admission routes1
Has abstractyes

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