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Record W6999372914

Decline in African American enlistment in the U.S. Army.

2008· other· en· W6999372914 on OpenAlexaboutno aff

Bibliographic record

VenueIke Skelton Combined Arms Research Library (CARL) Digital Library (US Army Combined Arms Center) · 2008
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAfrican americanDistrustPopulationSocioeconomic statusDemographicsQuarter (Canadian coin)Ethnic groupAdministration (probate law)Representation (politics)Premise
DOInot available

Abstract

fetched live from OpenAlex

This monograph will argue that Black Americans, who have historically enlisted in the Army in overwhelming proportions with respect to national populations, are now pursuing other opportunities outside of the Army. The U.S. Army and African Americans have shared a unique and somewhat dependent relationship. At one point, African Americans, who were less than 12 percent of the U.S. population, represented more than 30 percent of the U.S. Army's population. In recent years, African American enlistment has dropped to about 13 percent and constitutes less than 17 percent of the total force structure. This decline in African American Army enlistment correlates with the broadening American cultural acceptance of minorities; a generally negative perception of the George W. Bush administration and the war in Iraq by African Americans; and an extremely positive perceived future for African Americans in the United States. Increased opportunities lend themselves to African Americans achieving higher levels of education, an expanding middle class, and significant socioeconomic advancements in the U.S. and internationally. Generally speaking, or at least according to some selected media and surveys, African Americans oppose the premise for invading Iraq and distrust the Bush administration. While some military officials and social scientists have expressed concern about the decline, others believe Hispanic American enlistment will fill the void left by African Americans. Observing the apparent trends, this monograph believes the African American Army population will continue to drop to show a true representation of the American population and the Hispanic American population will continue to grow in the Army. As the demographics change and the Hispanic American population exceeds the African American population, the Army has to be prepared. To ensure that African American representation in the Army does not fall below the national population, the Army should: effectively communicate to the African American population the available opportunities that exist; use the Internet to communicate the strategic messages; and continue the community outreach programs in neighboring communities and expand them into urban areas.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0110.016
Science and technology studies0.0010.005
Scholarly communication0.0050.010
Open science0.0130.008
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0050.006

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 head0.026
GPT teacher head0.280
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

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