Bibliographic record
Abstract
"Dans un court texte de son livre Historias de Cronopios y de Famas (1962) intitulé "anicroches dans les services publics", l’écrivain argentin Julio Cortàzar imagine que le directeur général de la radio, "Cronope" décide un jour de faire traduire tous les bulletins d’informations, les publicités, les chansons diffusés sur les ondes en roumain, "langue fort peu répandue en Argentine" précise-t-il. Les auditeurs ne comprennent rien, s’étonnent, secouent leurs postes, mais la radio continue d’émettre en roumain, "y compris le célèbre tango Ce soir je me soûle". Ils téléphonent pour protester, mais au standard on ne leur répond qu’en roumain. Bref, ce changement produit une grande pagaille. Le gouvernement fait fusiller le directeur et nomme à sa place un "Fameux" chargé de remettre de l’ordre et qui rétablit la langue nationale sur les ondes. Mais, une partie de la population avait acheté des manuels et des dictionnaires de roumain, langue qui devient à la mode, au grand dam du gouvernement, et certains allaient même secrètement se recueillir sur la tombe de feu le directeur, "Cronope" et roumanophile, de la radio. [...]"
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".