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Record W2998726343 · doi:10.1556/022.2019.64.1.4

In the Footsteps of Julia Pastrana. Cultural Responses to an Ape-woman's Stay in Warsaw in 1858 and Reaction of Polish Press to Her Extraordinary Body1

2019· article· en· W2998726343 on OpenAlexaboutno aff
Izabela Kopania

Bibliographic record

VenueActa Ethnographica Hungarica · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationBiographyHistoryExhibitionArt historyFREAK

Abstract

fetched live from OpenAlex

Abstract Julia Pastrana is one of the best known personalities of the mid-19th-century freak show business, understood as institutionalized exhibitions of human oddities. Born in 1834 in Mexico, she suffered from a genetic disorder which resulted in abnormal hair growth. Her career as a profit-making exhibit began in 1854 and lasted till 1860. Together with her impresario and husband Theodore Lent she toured the US, Canada and the British Isles from where she moved to Berlin, Vienna and Warsaw. Pastrana further headed for St. Petersburg and Moscow where she died in childbirth. While her odyssey in the US and Britain is well known, her stay in Central and Eastern Europe and Russia remains shrouded in obscurity. The aim of this article is to fill this gap in Pastrana's biography. Reconstructing her itinerary in Eastern Europe, I will focus especially on her visit to Warsaw. Drawing mainly on press accounts and unpublished iconographic sources, I will analyze both Pastrana's ‘enfreakment’ and commodification. My point is to see how her embodiment of difference was conceptualized at the eastern borders of Europe and how local artists and entrepreneurs reacted to her performances and the possibilities for making money that the freak show business offered.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.040
GPT teacher head0.337
Teacher spread0.297 · 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 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

Citations5
Published2019
Admission routes1
Has abstractyes

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Same venueActa Ethnographica HungaricaSame topicPolish Historical and Cultural StudiesFrench-language works237,207