Bibliographic record
Abstract
ResumenEn este artculo presentamos un estudio exploratorio sobre el tab lingstico.Para ello, nos enfocamos en tres mbitos tabes: defectos fsicos, sexualidad y escatologa, en funcin de dos variables sociales -edad y sexo-, con la finalidad de observar su influencia en la produccin de palabras y frases de 18 hablantes de tres grupos de edad (18 a 25 aos, 26 a 33 aos, 34 a 41 aos), nueve hombres y nueve mujeres que viven en la Ciudad de Mxico.El anlisis muestra que hay diferencias en el conocimiento de voces tabes por generacin y sexo.Asimismo, los colaboradores proporcionaron una mayor cantidad de vocablos para nombrar el acto de defecar y una menor para nombrar a una persona que no oye; propusimos dos explicaciones al respecto; sin embargo, nos inclinamos por considerar que los mbitos con mayor variacin no son tan tabes, a diferencia de aquellos con pocas formas para denominarlos que pueden ser vistos como ms tab, porque no se nombran.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.034 | 0.078 |
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".