DE ESTO Y AQUELLO: BOSQUES DE VENEZUELA. CONÓCTE A TI MISMO. VISAS PARA CANAD
Bibliographic record
Abstract
COLUMNA DE ESTO Y AQUELLO.- BOSQUES DE VENEZUELA: ANAIRAMIZ ARANGUREN, DEL INSTITUTO DE CIENCIAS AMBIENTALES Y ECOLOGIA DE LA UNIVERSIDAD DE LOS ANDES, OFRECIO EN EL AUDITORIO DEL JARDIN BOTANICO DE LA UNAM LA CHARLA EL ECOSISTEMA ESTACIONALMENTE SECO DEL PISO MONTANO Y PREMONTANO EN EL ESTADO DE MERIDA, VENEZUELA, EN LA QUE DIJO QUE LAS ACTIVIDADES DERIVADAS DE LA PRESENCIA HUMANA HAN ALTERADO LA DIVERSIDAD DE ESPECIES EN LOS BOSQUES DE LA MENCIONADA REGION. - CONOCTE A TI MISMO: LA DIRECCION GENERAL DE ORIENTACION Y SERVICIOS EDUCATIVOS ORGANIZO EL SEMINARIO DE ANALISIS DE LA PRACTICA DE TUTORIA, EN EL QUE LUIS PORTER, DE LA UNIVERSIDAD AUTONOMA METROPOLITANA, UNIDAD XOCHIMILCO, IMPARTIO LA CONFERENCIA MAGISTRAL APRENDER A RECORDAR. LA PEDAGOGIA CIRCULAR DEL CONOCETE A TI MISMO, EN LA TERRAZA DE LA TORRE DE INGENIERIA. - VISAS PARA CANADA: SI CANADA ESTABLECIO LA VISA PARA MEXICANOS A PARTIR DE 2009 FUE CON EL OBJETIVO DE PROTEGER EL SISTEMA PARA REFUGIADOS QUE OPERA ALLA, ENTRE OTRAS RAZONES, POR EL INUSUAL INCREMENTO, QUE PASO DE TRES MIL SOLICITUDES EN 2006, A MAS DE 10 MIL, TRES ANOS DESPUES, AFIRMO EN EL CENTRO DE INVESTIGACIONES SOBRE AMERICA DEL NORTE DE LA UNAM GINETTE MARTIN, MINISTRA CONSEJERA ENCARGADA DE ASUNTOS POLITICOS, ECONOMICOS, CULTURALES Y PUBLICOS DE AQUEL PAIS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.052 | 0.004 |
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".