Autour de la guerre totale
Bibliographic record
Abstract
Le dca lage entre lites et masse des citoyens, que le thme de la cor rup tion des nan tis tra duit de faon objec tive, au risque de deve nir un argu ment popu liste, se trouve l'ordre du jour ces der niers mois de faon pr gnante. La France voit son tis su social se dfaire avec d'un ct l'abandon d'un tat soli daire issu des grandes conqutes de l'aprs seconde guerre mon diale, et de l'autre l'ta lage sans ver gogne des richesses les plus colos sales. L'aban don de cer tains aspects fon da men taux du pacte rpu bli cain par le garant mme des ins ti tutions de la Rpu blique a t sou li gn par des juristes de renom, par exemple lorsque fut bran die la menace de retirer leur citoyen net des Fran ais natu ra li ss. Le blo cage de l'ascen seur social construit sur une excel lence de l'cole rpu bli caine devient patent. Sont runis parmi d'autres signes inqui tants, quelques l ments qui rendent urgente une rfl exion appro fon die sur la Rpu blique comme legs complexe de la dcen nie rvo lu tion naire.
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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".