Bibliographic record
Abstract
ESCONDIDOS EN UNA CMARA Con mi padre vivamos en el cortijo y haba unas eras, era en el verano y vinieron dos del pueblo que eran ricos, y dice mi padre: "Mira, no, no los metis aqu, yo os llevo a una cabecera, os llevo a un barranco de esos, a un caao de esos y ah no sus pasa nada", "Que no Andrs, que no, que no, que nosotros, que no.T echa unos colchones y nos acostamos aqu".Pues tuvieron que echar unos colchones y durmieron en la cocina, porque en las cmaras estaba la gente as, de toda la gente de Castril jvenes (La cmara qu es?) La cmara es pues el piso de arriba.Y, entonces, llegan tres o cuatro con caballos apuntndole a mi padre: "Manos arriba, usted tiene a alguien escondido aqu?", dice mi padre: "Mire usted, yo estoy aqu en la era y yo no s si hay alguien en mi casa?", "Manos arriba, abra usted la puerta".Abrieron la puerta y se los encontraron all a los dos."Venga, levantaros que os vamos a coger a la cola de los caballos y vais a ir arrastrando".Mi abuela ya, pues viejecica, dice: "Ay, por Dios, no hagis eso", dice: "Abuela, abuela que all no hay Dios", dice: "Es que es la costumbre".Y los cogieron y se los llevaron.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.009 |
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".