I Was More American than the Americans
Bibliographic record
Abstract
In the mid-1970s Sylvère Lotringer created Semiotext(e), a philosophical group that became a magazine and then a publishing house. Since its creation Semiotext(e) has been the place for stimulating dialogue between artists and philosophers, and American artistic and intellectual life for the past fifty years has largely depended on it. The model of the journal and the publishing house revolves essentially around the notion of the collective, and its creator Sylvère Lotringer has rarely divulged his personal journey: his existence as a hidden child during the Second World War; the liberating and then traumatic experience of the collective in the kibbutz; his Parisian activism in the 1960s; his time of wandering, which took him by way of Istanbul to the United States; and then of course his American years, the way he mingled his nightlife with the formal experimentation he invented with Semiotext(e) and his classes. \n Since the early 2010s Donatien Grau has developed the habit of visiting Sylvère Lotringer during his trips to Los Angeles; some of their dialogues were published or held in public. We are given an entry into Sylvère Lotringer’s life, his friendships, his choices, his admiration for some of the leading thinkers of our times. The conversations show bursts of life, traces of a journey, through texts and existence itself, with an unusual intensity. \n
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.035 | 0.007 |
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".