Bibliographic record
Abstract
Jacques Derrida was born to a Sephardic Jewish family near Algiers in 1930, in what was then French Algeria (at school, says Derrida, there was "not a word about Algeria, not a single one about its history and its geography, whereas we could draw the coast of Brittany or the Gironde estuary with our eyes closed").2 As a child, Derrida was the victim of harsh anti-Semitism, which translated into his expulsion from the local French primary school in 1942 along with all other Jewish students.Five years later, plagued by adolescent anxieties, he was unsuccessful on his first attempt at the baccalauréat or high-school leaving assessment.He later moved to France, where in 1950 he failed the entrance examination at the prestigious Ecole normale supérieure, France's training school for teachers, and did not in fact succeed in being admitted to this institution for a further two years.His academic difficulties continued, and he subsequently foundered at the national concours d'agrégation, which would have accredited him as a philosophy teacher.Only in 1956 did he finally qualify.
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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.010 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.011 | 0.014 |
| Insufficient payload (model declined to judge) | 0.063 | 0.026 |
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".