Bibliographic record
Abstract
[Introduction] William Gibson’s 1984 novel, Neuromancer, declared cyberpunk as a fully realized science fiction subgenre that reverberates into the current time. The text follows a hacker, Case, who was recruited by an artificial intelligence program, Wintermute. The AI plans to release itself into cyberspace or the matrix; a virtual reality separate from the cruel outside world of the novel. Case joins a veteran solider, Armitage, an assassin-like agent, Molly, and other morally ambiguous individuals in a novel that pushes the boundaries of the 1980s culture. In addition to this, Neuromancer also represents postmodern architecture in the form of the text’s urban cityscapes, but also through the virtual reality of cyberspace. Each location relays a strained relationship between humanity and technology. The development of the 1980’s information technology along with the growth of the personal computer was believed to be a harbinger of a shifting paradigm. Paweł Frelik’s article, “Silhouettes of Strange Illuminated Mannequins: Cyberpunk’s Incarnation of Light,” examines the ocularity of light pertaining to cyberspace’s visual aesthetic. Frelik defines Neuromancer’s technological equipment as a gateway to cyberspace which is where global information is made concrete in the form of neon light. I will take up this technological gateway as defining cyberspace to be an information utopia. The construction of data into concrete light establishes the freedom a tangible identity can occupy in a world where physical limitations have no relevance. I will integrate this with a postmodern architectural and literary theory. Sabine Heuser’s text, Virtual Geographies: Cyberpunk at the Intersection of the Postmodern and Science Fiction¸ examines the representation of postmodern architecture in relation to cyberpunk. She defines “double coding” as communicating not only with the public, but with a concentrated minority consisting of learned professionals working in the industry. Heuser’s text declines to apply this theory to Neuromancer as she explains double coding is too binary to be useful, but Gibson’s spatial descriptions allow for a coded interpretation into the purpose of each temporality: cyberspace and reality. By using double coding, I will utilize this architectural concept to examine Neuromancer’s representation of neon lights as concrete fixtures of data which liberate a person’s identity. Therefore, this situates the dichotomy of cyberspace as a utopia and the cityscape as a dystopia in order to capture the zeitgeist of the democratization of technology (the relinquishment of computers from the elite to the masses).
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.040 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".