Bibliographic record
Abstract
La publication récente de Geschlecht III permet pour la première fois d’embrasser de manière synoptique le projet Geschlecht et d’en apprécier la cohérence d’ensemble. Je prends le parti de lire la série Geschlecht comme la scène d’un héritage où Derrida se débat littéralement avec le legs heideggérien. J’isole en particulier le ressort de la critique du rassemblement (Versammlung) qui organise la lecture de Derrida dans toute la série. Je propose de distinguer deux niveaux à cette lecture : l’un, où est mis en scène le refus d’un héritage jugé métaphysique ou suspect ; l’autre, que l’on méconnaît plus volontiers, qui pour sa part met en scène un héritage partagé (don, promesse, économie). On verra la valeur de rassemblement apparaître tour à tour de l’un et de l’autre côté de ces lignes de partage, et pluraliser le legs devenir l’enjeu de la scène.
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 | 0.002 | 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 | 0.005 | 0.013 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".