Bibliographic record
Abstract
Documentos de interes academico There’s no partnership in in pivot. Autor: Stephen Walt. Fuente: Foreign Policy. Vea aqui. Peace is the only path to true security for Israel and the Palestinians. Autor: Barack Obama. Fuente: Haaretz. Vea aqui. West Africa’s misguided war on drugs. Autor: Kofi Annan. Fuente: Project Syndicate. Vea aqui. Have we gone from a post-war to a pre-world war?. Autor: Walter Russel Mead. Fuente: Huffington Post. Vea aqui. Llamados internacionales PROGRAMA DE BECAS OEA-GCUB 2014 La Organizacion de Estados Americanos y el Grupo Coimbra de Universidadres Brasilenas ofrecen becas para programas de Maestria y Doctorado de inicio en 2015. Las mismas refieren a diversas areas del conocimiento, en modalidad presencial e idioma portugues. La Fecha limite de presentacion es el 06/08/2014 . Vea las bases aqui The McGill Institute for the Study of Canada (MISC) is currently accepting applications for the Eakin Visiting Fellowship in Canadian Studies at McGill University for the Fall 2014 and Winter 2015 terms. The Fellowship is awarded to scholars of all rank and discipline whose research focus on some aspect of Canada. Vea las bases aqui
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 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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.018 | 0.010 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.354 | 0.300 |
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".