Bibliographic record
Abstract
Book Review: Resena del libro: Levy, P. (2007). Cibercultura. La cultura de la sociedad digital. [Informe al Consejo de Europa]. Prologo: Manuel Medina. Barcelona: Rubi; Mexico: Anthropos, Universidad Autonoma Metropolitana. ISBN: 978-84-7658-808-6. Pierre Levy, Tunisian historian, and sociologist, member of the Academy of Sciences of Canada and director of the Research Chair in Collective Intelligence at the University of Ottawa, is world-renowned as a philosopher of cyberspace, a pioneer in the study and contributions on the development and implications of collective intelligence in society through a medium such as the Internet. He is also recognized as one of the greatest scholars of virtual culture in the world. Author, among others, of works such as: La machine univers (1987), The dynamic ideography (1991), The technologies of intelligence (1994), What is virtual? (1995), Cyberculture (1997) and Cyberdemocracy (2004). The text of Cyberculture corresponds to a report presented in 1997 before the Council of Europe on the cultural implications of digital communication and information technologies. Although some techniques and devices have lagged behind after ten years, however, their approaches to this fundamentally humanistic project (p.174) continue to be valid for contemporary culture connected to the Internet.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.012 |
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".