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Record W7063933615

The Azalea Trail Maids: White Women’s Contributions to the Lost Cause in Mobile, Alabama

2024· article· en· W7063933615 on OpenAlexaboutno aff

Bibliographic record

VenueAquila Digital Community (University of Southern Mississippi) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAzaleaWhite (mutation)CoveQuarter (Canadian coin)PoliticsDowntownPulpitMetropolitan area
DOInot available

Abstract

fetched live from OpenAlex

This paper analyzes the origins of the Azalea Trail in Mobile, Alabama, and the history of its corresponding Azalea Trail Maid program. The Trail is a walking and driving trail through the historic areas of Mobile, in which hundreds of azalea bushes have been planted along the roads. Beginning in 1929, the Azalea Trail takes tourists through the heart of downtown Mobile, the city’s antebellum homes, and other local attractions. In 1949, the program expanded to include a “Trail Court,” and in 1951, it created a festival to crown an Azalea Trail Queen and select the members of her court, who were costumed in 1850s regalia. The Queen reigned over the festivities, many of which were themed around the Old South and its subsequent romanticization via the Lost Cause. This paper argues that Mobile’s white women perpetuated an antebellum fantasy that gradually increased in grandeur, especially during the late 1950s and 1960s, when legal racial segregation began to crumble. The Azalea Trail Maids’ prestige can be linked directly to the social unrest in Mobile following various turning points in both local and national politics due to the success of the Civil Rights Movement, such as Mobile’s school desegregation. This paper emphasizes the crucial role Southern white women have played in upholding white supremacy since the Reconstruction era through modes of civic duty and historic preservation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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