Bibliographic record
Abstract
Marie-Hélène Lafon, Pierre Jourde : deux auteurs rattachés par leur origine familiale au Cantal. Leurs oeuvres sont en partie consacrées à cette France rurale dont ils sont issus, mais la réception de celles-ci ne va pas de soi auprès des habitants du Cantal. Pierre Jourde a même été victime d’agressions. Si Lafon s’est heurtée à quelque hostilité, elle a pris grand soin par la suite de « brouiller les pistes » et jouit désormais d’une relative immunité. Nous examinons ici deux ouvrages, dont les titres se font écho à neuf ans d’intervalle : Pays perdu de Jourde (2003) et Les Pays de Lafon (2012). Il s’agit de déceler les raisons factuelles, biographiques expliquant la différence de réception, et de comparer les partis pris d’écriture ainsi que les imaginaires.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".