HEFORSHE VA DESDE CHINA A ESPAÑA, COSTA RICA, CANADÁ Y ESTADOS UNIDOS. SE SUMAN LAS SEDES EN EL EXTRANJERO
Bibliographic record
Abstract
LA CAMPANA HEFORSHE QUE PROMUEVE LA UNAM CRUZO FRONTERAS Y SE EXPANDIO POR VARIOS PAISES. EN LOS ULTIMOS DIAS, LA ADHESION DE LA UNIVERSIDAD NACIONAL A LA PLATAFORMA DE LA ORGANIZACION DE LAS NACIONES UNIDAS EN FAVOR DE LA IGUALDAD DE GENERO TUVO PRESENCIA EN CHINA, ESTADOS UNIDOS (SEATTLE, TUCSON, CHICAGO, LOS ANGELES Y SAN ANTONIO), COSTA RICA, CANADA Y ESPANA, GRACIAS A LAS ACTIVIDADES DE LAS SEDES DE NUESTRA CASA DE ESTUDIOS EN ESOS TERRITORIOS. CON ELLO SE REFRENDAN LOS 27 COMPROMISOS ESTABLECIDOS EN EL PROGRAMA DE DESARROLLO INSTITUCIONAL EN MATERIA DE IGUALDAD DE GENERO, Y ENTRE LOS QUE DESTACA EL PROTOCOLO PARA LA ATENCION DE CASOS DE VIOLENCIA DE GENERO EN LA INSTITUCION. ILUSTRAN LA NOTA IMAGENES EN LAS PAGINAS 6 Y CENTRALES DE LA ADOPCION DE LA CAMPANA DE LAS SEDES DE LA UNAM EN EL EXTRANJERO.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.002 |
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".