Word embeddings’ gender skew correlates with real occupational gender ratios
Evidence
Pynchon’s encyclopedic novel of WWII rocketry doubles as a treatise on communication: paranoid signals, encrypted messages, conditioning experiments, and the V-2 as both weapon and meaning-making apparatus. The novel renders Pavlovian behaviorism, ballistic mathematics, and corporate cartels as overlapping communication systems. Its method is hallucinatory polyphony. For COMM scholars, Gravity’s Rainbow models how warfare, science, and media converge in what Friedrich Kittler would later theorize as discourse networks. Its relevance to contemporary AI debates lies in its early dramatization of how technical systems shape subjectivity, anticipating Zuboff’s instrumentarian power and the algorithmic governance critiqued by Eubanks and Noble. — , The Braided Reading EPUB, 1224 (
#exemplifies, via linked claim)
Categorization
- corroborated: 3 independent passages support this claim
- XREF: connects to: Word embeddings serve as novel objects for sociological analysis of bias; Large-scale English text corpora reflect real-world societal biases; Machine learning increasingly intertwines technical problems with human and social questions (+3 more)
Related
- Word embeddings serve as novel objects for sociological analysis of bias (similarity 0.82)
- Large-scale English text corpora reflect real-world societal biases (similarity 0.82)
- Hundreds of papers missed blatant sexism in word embeddings (similarity 0.80)
- Common language carries more gender bias than objective metrics show (similarity 0.78)
Library Connections
- Large-scale English text corpora reflect real-world societal biases
#corroborates(0.90) - Word embeddings serve as novel objects for sociological analysis of bias
#exemplifies(0.85)
Broader Connections
- Technical systems shape subjectivity by functioning as discourse networks
#exemplifies(0.65) — , The Braided Reading EPUB, 1224