Bibliographic record
Abstract
Durante su vida, Mario Molina no rehuyó participar en instituciones y campañas destinadas a conseguir regulaciones y leyes que buscaban garantizar un medio ambiente sano. Molina participó desde el Consejo Universitario de la UNAM hasta las negociaciones para alcanzar el Protocolo de Montreal. Contribuyó a: definir la justicia en materia de normas sobre calidad del aire mediante control vehicular y coordinación metropolitana, elaborar leyes e instituciones encargadas de enfrentar el cambio climático, así como comprender la transmisión por aerosoles de la covid19. Durante sus intervenciones públicas en los medios, Molina buscaba que no se le asociara a un partido político o ideología, pero no dudaba en criticar decisiones de autoridades y empresas que carecían de una base de evidencia científica. Molina fundó y presidió en México, desde 2004, el Centro Mario Molina, institución de investigación y promoción de políticas públicas. Desde éste think tank o grupo de expertos se realizaron estudios estratégicos sobre calidad del aire, energías renovables y cambio climático que transformaron la justicia ambiental en el país.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".