Bibliographic record
Abstract
En mars 2001, on s’en souvient, à la suite d’un décret du Mullah Omar, les talibans procédèrent à la destruction, à coups d’explosifs, des deux Bouddhas géants de la falaise de Bamiyan en Afghanistan. Les démarches, vaines, tentées par l’UNESCO, par diverses organisations et par plusieurs gouvernements pour dissuader les talibans d’accomplir l’acte iconoclaste, puis l’émotion presque universelle, pays musulmans y compris, exprimée devant ce qui fut considéré comme un sacrilège, ou du moins comme un acte de barbarie, firent ressortir, autant que le deuil d’une œuvre appartenant au patrimoine de l’humanité, une confrontation entre des valeurs apparemment inconciliables : condamnation des images taillées et de l’idolâtrie, d’une part, préservation, voire « culte » même de ce que l’Occident, et pas seulement l’Occident, considérait comme un bien commun, universel, de l’autre. Dans cet article, on aborde, par delà les événements factuels, les enjeux et les valeurs exprimés dans l’argumentation des parties en cause : les bouddhistes, la population afghane et le public occidental.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".