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Record W4387338803 · doi:10.26522/ssj.v17i3.3909

Living Among Confederate Icons: Perpetuating White Supremacist Beliefs and Blindness to Black Suffering

2023· article· en· W4387338803 on OpenAlexvenueno aff
Susan H. Sarapin, Richard Ledet, Pamela L. Morris, Sharon Emeigh

Bibliographic record

VenueStudies in Social Justice · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyWhite (mutation)White supremacyLawMisinformationSpanish Civil WarIconographyPolitical scienceLegislationSociologyHistoryRacism

Abstract

fetched live from OpenAlex

Almost 160 years after the American Civil War, where the Union defeated the Confederacy and ended slavery in the United States, approximately 1,910 tributes remain to Confederate military leaders located on public property in the 11 original Confederate states, particularly in cities with an exceptionally high density of Black residents. To Blacks, this iconography delivers a clear message of White supremacy. Six states have enacted laws to protect and preserve these memorials, making it almost impossible to use the court system to move them to private property. This paper explores connections between support for a myth called the Lost Cause, which is a revisionist history intended to spread misinformation about the true cause of the American Civil War, and attitudes toward placement of Confederate symbols on public land. We show that there is significant belief in the Lost-Cause myth among many White U.S. Southerners. Furthermore, we find those who believe most in the myth are the least likely to want to move the monuments or end taxpayer support for their maintenance.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.331
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.318
Teacher spread0.261 · 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 teacher head, 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
Published2023
Admission routes1
Has abstractyes

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