Bibliographic record
Abstract
espanolCatar es uno de los paises mas pequenos del mundo, con cerca de un cuarto de millon de poblacion autoctona. A pesar de estas limitaciones geograficas y demograficas, Doha se ha establecido como un jugador principal en las escenas regional e internacional. Una medida fundamental tras este ascenso es la acumulacion de los enormes beneficios generados por el petroleo y el gas natural. Este articulo examina el papel que los activos relacionados con los hidrocarburos han jugado en las transformaciones interna y externa de la politica de Catar y las estrategias propuestas para mitigar el impacto de la fuerte caida del precio del petroleo desde junio de 2014. EnglishQatar is one of the smallest countries in the world with approximately a quarter million of native population. Despite these geographical and demographic limitations, Doha has established itself as a major player on both regional and international scenes. A major drive behind this ascendancy is the accumulation of massive oil and natural gas revenues. This essay examines the role hydrocarbon assets have played in the internal and external transformation of Qatari policy and the proposed strategies to mitigate the impact of the sharp drop in oil prices since June 2014.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".