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Record W2093004051 · doi:10.17742/image.crypt.2-1.6

EX-CORPORATION: ON MALE BIRTH FANTASIES

2011· article· en· W2093004051 on OpenAlexvenueno aff
Christine Kanz

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesModernityArtEthnologySociologyPhilosophy

Abstract

fetched live from OpenAlex

Between 1890 and 1933, male birth fantasies became awidespread phenomenon in European culture. One ofthe key examples of male birth fantasies is Filippo TommasoMarinetti’s “African” novel Mafarka the Futurist.The novel’s protagonist, Mafarka, gives birth to a childby his will power and by drawing on diverse formationsof knowledge, from alchemy to theories of evolution. Inaddition to the consideration given the psycho-historical,cultural, and scientific contexts of male birth fantasiesin the avant-garde, the contribution reflects on siblingencryptment within the relationship to the motheras one more aspect of a span of genealogy one mightterm “Maternal Modernity.”Christine Kanz is Professor of German Literature atGhent University in Belgium. Her contribution refersto her 2009 book Maternale Moderne. Männliche Gebärphantasienzwischen Kultur und Wissenschaft, 1890-1933. In addition she edited several collections andauthored another book on Ingeborg Bachmann, andnumerous articles and reviews in the area of interdisciplinarystudies.Before entering the Academy of Fine Arts Karlsruhe,class of Daniel Roth, in 2008, Adam Cmiel trained invarious media in Bad Dürkheim, Hamburg, Mannheim,and Trier. He has participated in nine exhibitions sincethe onset of his studies in Karlsruhe.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.013
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.200
GPT teacher head0.392
Teacher spread0.192 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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Same venueImaginations Journal of Cross-Cultural Image StudiesSame topicHistorical Studies on Reproduction, Gender, Health, and Societal ChangesFrench-language works237,207