Identidad grupal y comportamiento violento en la historia del racismo estadounidense
Bibliographic record
Abstract
El objetivo de este TFG es mostrar el racismo existente actualmente en Estados Unidos.Para ello, he analizado la historia de los ciudadanos estadounidenses negros teniendo de base la abolición de la esclavitud hasta la actualidad en la que nos encontramos.Analizaremos la identidad grupal de cada una de las partes y como esa conformación de roles predefinidos desde el nacimiento comportó a que, en el pasado fueras una persona con derechos o no y como esas decisiones han contribuido a la actualidad en la que nos encontramos.Desgraciadamente, es muy común seguir viendo en las noticias detenciones más violentas de lo común debido al color de piel, peleas en barrios marginales o comportamientos racistas entre los propios ciudadanos.Por lo que, la necesidad de llevar a cabo este trabajo académico, surge de la idea de informarnos del porqué de la realidad actual para así poder prevenir estos comportamientos, siendo necesario entender su historia.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".