Bibliographic record
Abstract
Enformasyon toplumun da kendini var etmeye devam eden bilgi, düşünce ve duyumsallık giderek negatiflikten yoksun hale gelmektedir. Bu pozitiflik ve şeffaflık Eros’u ve düşünce de var olan erotizmi görünür kılarak pornografikleştirir. Artan veri yığını da her şeyi aynının cehennemi içerisinde yok eder. Fakat teori bunun dışındadır. Bu sebeple Başka, Aynı değildir ve Aynı’dan farklıdır. Genel olarak Han, eserinde enformasyon toplumu ile Eros arasındaki ilişkiyi ilginç bir yaklaşımla ele almıştır. Başka’nın kaybolmaya başlamasının Eros için de tehlikeli yönlerinin olduğu söylenebilir. Enformasyon ve ağ toplumu olan içinde yaşadığımız dünya, bireyde kendine ait bir şey bırakmama istek ve arzusu ile beden ve ruhta var olmak ister.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.352 | 0.182 |
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".