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Record W3127596064

SE INTEGRA LA UNIVERSIDAD A CONSORCIO DE CIENCIA GLOBAL. IMPULSO A JÓVENES PROMETEDORES

2019· article· es· W3127596064 on OpenAlexaboutno aff
Mirtha Hernández

Bibliographic record

VenueGaceta UNAM (2010-2019) · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicScience, Technology, and Education in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

CON EL OBJETIVO DE PROMOVER LA COLABORACION CIENTIFICA MUN­DIAL E INSERTAR EN ESA ACTIVIDAD A JOVENES INVESTIGADORES QUE ESTAN EN EL INICIO DE SUS CARRERAS, LA UNAM SE INTEGRO AL SISTEMA DE NODOS DEL LABORATORIO BERKELEY GLOBAL SCIENCE INSTITUTE. “LOS NODOS Y LAS COLABORACIONES IN­TERNACIONALES SON NECESARIOS PARA SEGUIR AVANZANDO; ESTE ES EL FUTURO DE LA CIENCIA EN MEXICO Y EN EL MUNDO, PORQUE LA CIENCIA NO TIENE FRONTERAS.”, AFIRMO EL RECTOR ENRIQUE GRAUE WIECHERS AL INAU­GURAR EL SIMPOSIO INTERNACIONAL QUIMICA Y MATERIALES EN EL SIGLO XXI. FUTURE OF SCIENCE 2019, MEXICO, CON MOTIVO DE LA INCLUSION DE LA UNIVERSIDAD NACIONAL EN ESTE CONSORCIO. POR MEDIO DEL INSTITUTO DE QUIMICA (IQ) SE TRABAJARA CON NODOS DE JAPON, COREA DEL SUR, CHINA, JORDANIA Y MALA­SIA, ENTRE OTROS. LA INICIATIVA PROMUEVE LA LABOR ENTRE JOVENES ACADEMICOS E INVESTIGADORES CON EXPERIENCIA PARA CONSOLIDAR LAS CARRERAS DE LOS PRIMEROS, DESTACO EL RECTOR. ESA ESTRATEGIA REFUERZA EL TRABAJO DE LA UNAM POR INTEGRAR, EN LOS ULTIMOS ANOS, A UN MAYOR NUMERO DE CIENTIFICOS AL SUBPROGRAMA DE INCORPORACION DE JOVENES ACADEMICOS DE CARRERA (SIJA). OMAR YAGHI, FUNDADOR Y DIRECTOR DEL BERKELEY GLOBAL SCIENCE INSTITUTE, DIJO QUE MAS DE 90 POR CIENTO DE LA GENTE MENOR A 30 ANOS VIVE FUERA DE EUROPA, ESTADOS UNIDOS Y CANADA; POR ELLO, ES IMPORTANTE INCORPORAR A LOS “ESCOLARES EMERGENTES” PARA HACER CIENCIA Y PARTICIPAR DE LAS SOLUCIONES DE LOS PROBLEMAS DE HOY. EN EL AUDITORIO DE LA TORRE DE INGENIE-RIA, WILLIAM LEE ALARDIN, COORDINADOR DE LA INVESTIGACION CIENTIFICA DE LA UNI-VERSIDAD, EXPUSO QUE EL CONSORCIO TIENE PRESENCIA EN DISTINTOS PAISES, PRINCI­PALMENTE EN LOS QUE ESTAN EN VIAS DE DESARROLLO, PARA IMPULSAR TALENTO Y APOYAR SU DESARROLLO. PARA LA UNAM, AGREGO, ES IMPORTANTE ESTA ALIANZA, PUES ADEMAS DE GENERAR CONOCIMIENTO, HERRAMIENTAS Y SOLUCIO­NES A LAS CUESTIONES ACTUALES, PERMITE EL AVANCE DE SU PERSONAL A PARTIR DEL INTERCAMBIO ACADEMICO JORGE PEON PERALTA, DIRECTOR DEL IQ, INDICO QUE ALGUNAS INVESTIGACIONES QUE YA SE REALIZAN EN EL CONSORCIO ESTAN RE­LACIONADAS CON LAS ENERGIAS LIMPIAS MEDIANTE EL DESARROLLO DE MOLECULAS Y MATERIALES, PROCESOS QUIMICOS MAS SUS-TENTABLES, ATENCION DE PROBLEMAS DE SALUD EMERGENTES Y EL CUIDADO AL MEDIO AMBIENTE.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.004
Science and technology studies0.0010.004
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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.

Opus teacher head0.015
GPT teacher head0.322
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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