Crónicas sobre el desastre en Río de Janeiro
Bibliographic record
Abstract
La noche del 2 de septiembre de 2018 se inició un trágico incendio que destruyó el histórico edificio que ocupaba el Museo Nacional de Río de Janeiro (MNRJ), nada menos que el palacio São Cristóvão que fuera la antigua morada de la familia imperial brasileña localizada en la Quinta da Boa Vista en pleno corazón de la metrópoli carioca. En lo que fue tal vez la mayor pérdida de patrimonio científico de los últimos 50 años, el fuego se llevó consigo una enorme cantidad de especímenes representativos de la biodiversidad de Brasil y resto de Latinoamérica junto con artefactos culturales calculado en unos 20 millones de piezas. Este incendio consumó la pesadilla que pervive en la intimidad de todas las instituciones que actúan como repositorio, vale decir: la perdida en apenas unas horas de todo el trabajo y la información de muchas décadas fruto del trabajo de varias generaciones de científicos.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".