Secreto, lenguaje y memoria en la sociedad de la información
Bibliographic record
Abstract
This dialogue between a psychoanalyst (Raquel Capurro) and a specialist in information ethics (Rafael Capurro) deals with the relationship between secrecy, language and memory in the information society. The first part addresses the present debate on privacy and the Internet from a psychoanalytic perspective (Freud, Lacan), taking into consideration the relationship between language and memory. The second part deals with the concept of secrecy with regard to oblivion and censorship in the context of the digital network as a space in which seemingly anyone can tell anything to everybody. The question of “what cannot be said” is posed from a psychoanalytic perspective. The third part explores the relationship between memory and secrecy. Secrecy is defined as a “dispositif of exclusion.” The concept of “information society” is contrasted to a “society of secrecy”. This strategy opens a debate about the question of secrecy in the information society that might also help to disambiguate this concept when applied to concrete situations and spheres in which the question of where to draw the line arises.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".