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Record W2611637367 · doi:10.5964/jspp.v5i1.687

Support for the Confederate battle flag in the Southern United States: Racism or Southern pride?

2017· article· en· W2611637367 on OpenAlexafffund
Joshua D. Wright, Victoria M. Esses

Bibliographic record

VenueJournal of Social and Political Psychology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsBattleFlag (linear algebra)PrideRacismPoliticsWhite (mutation)OppressionLawPolitical scienceHistorySociologyAncient history

Abstract

fetched live from OpenAlex

Supporters of the Confederate battle flag often argue that their support is driven by pride in the South, not negative racial attitudes. Opponents of the Confederate battle flag often argue that the flag represents racism, and that support for the flag is an expression of racism and an attempt to maintain oppression of Blacks in the Southern United States. We evaluate these two competing views in explaining attitudes toward the Confederate battle flag in the Southern United States through a survey of 526 Southerners. In the aggregate, our latent variable model suggests that White support for the flag is driven by Southern pride, political conservatism, and blatant negative racial attitudes toward Blacks. Using cluster-analysis we were able to distinguish four distinct sub-groups of White Southerners: Cosmopolitans, New Southerners, Traditionalists, and Supremacists. The greatest support for the Confederate battle flag is seen among Traditionalists and Supremacists; however, Traditionalists do not display blatant negative racial attitudes toward Blacks, while Supremacists do. Traditionalists make up the majority of Confederate battle flag supporters in our sample, weakening the claim that supporters of the flag are generally being driven by negative racial attitudes toward Blacks.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.110
GPT teacher head0.454
Teacher spread0.344 · 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.

Study designTheoretical or conceptual
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

Citations29
Published2017
Admission routes2
Has abstractyes

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