Bibliographic record
Abstract
En el primer cuento de El naranjo, o los c?rculos del tiempo, Carlos Fuentes reescribe la historia de la conquista de M?xico inscribi?ndola en un discurso que afirma y acepta el car?cter heterog?neo de Latinoam?rica. Esta confirmaci?n de la pluralidad cultural de las Am?ricas aparece tambi?n en su obra El espejo enterrado, donde declara que deber?amos llamar el continente de Latinoam?rica uIndo-afro-ibero-am?rica. Fuentes tambi?n postula un imaginado reverso de la conquista, seg?n el cual una patrulla de mayas toma posesi?n de la pen?nsula ib?rica con el fin de imponerle un mayor grado de tolerancia cultural y religiosa. Al final, vemos que dos fallas traicionan su sue?o multicultural: tanto el indistinto uso del t?rmino mestizo como el mismo valor que Fuentes atribuye a la lengua castellana dejan el texto entre la afirmaci?n y la imposici?n cultural.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.015 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 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".