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Record W3128093508 · doi:10.7202/1075797ar

On the Record: Sissieretta Jones and Black Feminist Recording Praxes

2021· article· en· W3128093508 on OpenAlexaffvenue
Kristin Moriah

Bibliographic record

VenuePerformance Matters · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsQueen's University
Fundersnot available
KeywordsNewspaperGermanArt historyOrder (exchange)HistoryPerforming artsPerformance artSuperstarArtVisual artsSociologyMedia studies

Abstract

fetched live from OpenAlex

In this article, I examine how Sissieretta Jones (frequently described as America’s first Black superstar, among other superlatives) strategically leveraged her European performance reviews in order to increase her listenership and wages in the United States. Jones toured Europe for the first (and only) time from February until November in 1895. According to clippings that she provided to African American newspapers, the singer performed at the renowned Winter Garden in Berlin for three months. Sissieretta Jones also claimed that she performed for Wilhelm II, the last German Emperor and King of Prussia, at his palace and was subsequently presented with an elaborate diamond brooch for her performance. Afterward, the singer told the African American newspaper the Indianapolis Freeman that she would like to live in Europe permanently. Her biographers frequently cite the success of this trip and its symbolic importance for African Americans. And yet, evidence of these events in the archives of major German newspapers is elusive and contradictory at best, if it exists at all. Nevertheless, after the much-hyped tour, her career would take many twists and turns. Sissieretta Jones eventually performed in venues like Carnegie Hall and Madison Square Garden. She was the highest-paid Black female performer of the nineteenth century and a role model for future generations of Black performers.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0200.007
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0310.005

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 head0.017
GPT teacher head0.261
Teacher spread0.244 · 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 designNot applicable
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

Citations20
Published2021
Admission routes2
Has abstractyes

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Same venuePerformance MattersSame topicRace, History, and American SocietyFrench-language works237,207