MétaCan
Menu
← Back to cohort
Record W3125034731

Social Movements Against Racist Police Brutality and Department of Justice Intervention in Prince George's County

2015· article· en· W3125034731 on OpenAlexaboutno aff
Jonathan Wesley Hutto

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPolice brutalityOfficerCriminologyPopulationPoliticsPolitical scienceLaw enforcementCriminal justiceLawSupreme courtPublic administrationSociologyDemography
DOInot available

Abstract

fetched live from OpenAlex

Racist police brutality has been systemic within Prince George's County Maryland. The victims include African Americans, the mentally challenged, and the immigrant populations creating a complex and uneven public health impact. Three threads characterize the social movements and intervention since 1970.First, a significant demographic shift occurred as African Americans became the majority population in the late 1980's when the first Black County Executive was elected in 1994. Despite the change in political leadership, police brutality remained rampant. Lower-income households located close to the District of Columbia and inside the beltway experienced the most police brutality. In 2001 the Washington Post revealed that between 1990 and 2000, Prince George's police shot and killed more citizens per officer than any of the 50 largest city and county law enforcement agencies in the country 84% of whom were Black. Of the 147 persons shot during the 1990's, 12 were mentally and/or emotionally disturbed; six of these shootings were fatal.Second, resistance to police brutality emerged in a variety of political formations throughout the period, especially in the late 1990s. Sustained community pressure prompted the Department of Justice (DOJ) to open a civil rights investigation of the police department in November 2000. To avoid a potential federal lawsuit, the county leadership negotiated a Memorandum of Agreement (MOA) with the DOJ to enact policy reforms, part of which called for supplementing the departmental mobile crisis team, comprised of mental health care professionals, to respond to all cases involving mentally challenged citizens.Third, the incomplete process of change subsequent to the ending of five years of DOJ oversight suggests a continued challenge to social movements opposing police brutality.This study focuses on the effectiveness of the MOA along with the activism of the People's Coalition for Police Accountability (PCPA) in reforming a culture of police brutality. The intensive oversight by the DOJ, combined with engaged citizen activism reduced the incidences of police brutality during the period 2004-2013. Since the termination of DOJ oversight, disturbing developments suggest the need for continued and sustained activism. Since 2010, county officers have fatally shot 14 people, several in questionable circumstances. At the same time, the Prince George's police department has received more tactical military weaponry than any other jurisdiction in the state of Maryland under the 1033 program of the National Defense Authorization Act.

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)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0120.004
Scholarly communication0.0030.001
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.413
Teacher spread0.371 · 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

Explore more

Same venueSSRN Electronic Journal→Same topicHomelessness and Social Issues→French-language works237,207→