Editorial. La Cumbre de la Tierra París 2015-COP21. Un reto ineludible
Bibliographic record
Abstract
La Cumbre de la Tierra París 2015-COP21. Un reto ineludible "Lo que ustedes hacen, me hace llorar por las noches"Severn SuzukiEn la Cumbre de la Tierra celebrada en Río de Janeiro en 1992 se recuerda el discurso de Severn Susuki.En ese entonces una niña de 13 años quien viajó desde Vancouver para compartir con los participantes de esta conferencia sus profundas preocupaciones como niña y habitante del planeta sobre la gravedad del riesgo de supervivencia del planeta y la poca capacidad de quienes asistieron a la conferencia para impactar de verdad la crisis ambiental.Dijo Severn: "Aun soy una niña y sé que todos estamos juntos en esto y debemos actuar como un único mundo tras un único objetivo.Aunque estoy enfadada no estoy ciega y aunque tengo miedo, no me asusta decirle al mundo como me siento.En mi país derrochamos tanto; compramos y desechamos, compramos y desechamos; y aun así, los países del norte no comparten con los necesitados.Incluso, teniendo mi país más que suficiente, tenemos miedo de perder nuestras riquezas si las compartimos."Esta remembranza adquiere gran actualidad cuando presenciamos la suscripción del Acuerdo de París sobre cambio Climático-
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.048 | 0.030 |
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".