Sarah Richmond’s Translation of Jean-Paul Sartre’s <i>Being and Nothingness</i>
Bibliographic record
Abstract
Sarah Richmond’s translation makes an important contribution to Sartrean scholarship. L’Etre et le néant was first translated by Hazel Barnes in 1956 but it contained various errors. Richmond also had access to the internet and to Sartre’s French and German sources. Her edition also contains an Introduction and a ‘Notes on the translation’ section. Sartre published his work in 1943 and, unable to access all the works he cited, he often did so from memory. He also adopted certain translators’ neologisms: for example, Corbin’s translation of Heidegger’s Qu’est-ce que la métaphysique? , and when he quoted Nietzsche, he used two different translations, and he quotes Spinoza using a text by Hegel. He quotes a line from the playwright Beaumarchais without clarifying the context. Sarah Richmond deals with many of these problems and also notes that the French gender system can be problematic. Also, Sartre’s neologisms rendered finding English equivalents difficult. This is an excellent translation.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".