El humor en las lenguas y letras románicas – A modo de introducción al número monográfico
Bibliographic record
Abstract
Introduccion al numero monografico. En total son diez articulos sobre humor y literatura en las lenguas y letras romanicas, de los cuales uno versa sobre un tema italiano, cuatro sobre un tema hispanico (tres latinoamericanos y uno espanol) y cinco sobre un tema francofono (uno sobre el Quebec y cuatro sobre el Hexagono). Cronologicamente, los hay muy actuales, cuyo corpus de estudio es del ano 2018, y los hay que retrotraen su foco de interes algunos siglos, concretamente a mediados del siglo XVIII. Algunos centran su atencion en aspectos muy especificos, incluso en la materialidad del texto o de una anotacion, y otros, partiendo de textos concretos, elevan sus reflexiones a un ambito mas general. En resumidas cuentas, un conjunto variado y rico que el lector, ahora, podra juzgar libremente.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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, 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".