Levels of Simulacra: Brian Moore’s The Great Victorian Collection
Bibliographic record
Abstract
The rise of the second phase of capitalism after World War II is contemporaneous with the increase in information production and the ubiquity of mass media. The incessant play of signs and images in the groundless cyberspace fuels the erosion of referentiality and reality in our mediagoverned era. The consequent absence of reality, as Baudrillard argues, is masked through the simulation of natural reality and generation of cultural hyperreality. The present paper aims at examining various levels of hyperreality in Brian Moore’ s novel, The Great Victorian Collection (1975), in the light of Jean Baudrillard’s comments. The mutation of the real into hyperreal and its subsequent reproduction in this novel threatens the authenticity of the notions of art and history. A central concern here is to show how the protagonist of the novel becomes the creation of his own creation by surrendering his subjectivity and agency to the hyperreality of films and photos. Key words: Jean Baudrillard; Brian Moore; The Great Victorian Collection ; Hyperrelity; Reproduction; Mass media; Originality
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".