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Record W2563079858

HEFORSHE VA DESDE CHINA A ESPAÑA, COSTA RICA, CANADÁ Y ESTADOS UNIDOS. SE SUMAN LAS SEDES EN EL EXTRANJERO

2016· article· es· W2563079858 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGaceta UNAM (2010-2016) · 2016
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.005

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 head0.041
GPT teacher head0.400
Teacher spread0.359 · 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