Bibliographic record
Abstract
Todos somos conscientes que es de suma importancia identificar y tener claro el significado de la palabra Derecho, teniendo en cuenta la amplia variedad de significados y elementos que la componen. Igual de indispensable es conocer a que se refiere la expresión “Tener derechos” y todos los términos o datos que la engloban. Con esto, para iniciar queremos dejar en claro que nuestro objeto de estudio es realizar un acercamiento al significado de tener derechos, esto con la constante observación a la sociedad, ya que históricamente se ha evidenciado que el desconocimiento de dicha expresión, y todo lo que esta conlleva, ha generado crisis sociales y/o daños en los receptores de los derechos. Debido a la necesidad de conocer su significado y de lo indispensable que es colectivamente, en el presente documento se plasma detalladamente este concepto, respondiendo a varias interrogantes que se generan alrededor de esta expresión.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.006 | 0.008 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.008 | 0.004 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.022 | 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".