L'Aigle et le Phénix : Lecture du roman de Frédéric Cathala, Albin Michel, 2008. Frédéric Cathala, L'Aigle et le Phénix, Albin Michel, 2008, 304 p.
Bibliographic record
Abstract
« Cathala avait raison ! ». C’est avec cette ligne de sujet que je reçus l’électrolettre d’un éditeur parisien m’envoyant un article d’un grand quotidien sur l’imposture des statues de terre cuite de Xi’an exposées à Hambourg. Les Chinois avaient envoyé de fausses statues ! De quoi relancer les débats les plus fous sur l’authenticité des soldats de l’armée en terre cuite de Qin Shi Huangdi, le premier Empereur de Chine, qui agite le monde des sinologues depuis leur découverte dans les années soixante-dix. L’une des plus fabuleuses trouvailles archéologiques que la Chine ait jamais faite ne serait-elle que mystification ? De cette hypothèse, Frédéric Cathala a fait un roman, truculent, extrêmement érudit, caustique, follement en prise avec la réalité d’une Chine qui fait, à nous sinologues, notre quotidien, et particulièrement ceux qui étudient le politique. Et, avant tout, pour parler du cadre de ce livre, le nationalisme chinois.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".