Bibliographic record
Abstract
Esta sección contiene los siguientes documentos: \n \n<b>OEA</b> \nFondo de paz \n \n<b>UE</b> \nCarta de derechos fundamentales \n \n<b>MERCOSUR</b> \nXIX Reunión del Consejo del Mercado Común \n \n<b>G-7</b> \nDeclaración de los Ministros de Hacienda y de los Presidentes de los Bancos Centrales \n \n<b>BID</b> \nDiscurso de Enrique Iglesias, Presidente del BID, en la sesión inaugural de la Reunión Anual de las Asambleas de Gobernadores (Extractos) \n \n<b>GRUPO DE LOS TRES</b> \nDeclaración de Caracas \n \n<b>CUMBRE DE LAS AMÉRICAS</b> \nDeclaración de Quebec \n \n<b>ONU</b> \nPrincipales resoluciones del Consejo de Seguridad \nConsejo Económico y Social, Comisión de Derechos Humanos: Situación de los derechos humanos en Cuba
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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 teacher head, 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".