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Record W2726668484

ACUERDAN UNIVERSIDADES DE MÉXICO, EU Y CANADÁ CREAR EJE DE COOPERACIÓN CIENTÍFICA

2017· article· es· W2726668484 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 (2010-2019) · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicHigher Education in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

EL RECTOR ENRIQUE GRAUE WIECHERS RECIBIO AYER EN SU OFICINA A PETER MCPHERSON, PRESIDENTE DE LA ASOCIACION DE UNIVERSIDADES PUBLICAS (APLU, POR SUS SIGLAS EN INGLES). EN ESTA VISITA SE ACORDO, ENTRE OTRAS COSAS, INICIAR LA ELABORACION DE UN CONVENIO EN FAVOR DE LA INVESTIGACION CIENTIFICA ENTRE LAS PRINCIPALES UNIVERSIDADES PUBLICAS DE LOS TRES PAISES QUE CONFORMAN EL TRATADO DE LIBRE COMERCIO: CANADA, ESTADOS UNIDOS Y MEXICO. MCPHERSON PUBLICO, EL PASADO 26 DE ENERO, UNA CARTA EN LA QUE AFIRMO QUE LAS UNIVERSIDADES ESTADUNIDENSES SE ENRIQUECEN Y SE FORTALECEN CON EL TALENTO, VISION Y LA CULTURA DE LOS ALUMNOS INTERNACIONALES, LOS CUALES DEBEN CONTINUAR SUS ESTUDIOS. ES EN ESTE CONTEXTO QUE LA UNAM Y LA APLU UNIRAN ESFUERZOS PARA CONVOCAR A SUS HOMOLOGOS Y CREAR LA ALIANZA DE UNIVERSIDADES EN FAVOR DE LA CIENCIA. LA APLU, FUNDADA EN 1887, ES LA ASOCIACION DE EDUCACION SUPERIOR MAS ANTIGUA DE EU Y ESTA COMPUESTA POR 238 UNIVERSIDADES PUBLICAS DE INVESTIGACION, INSTITUCIONES DE CONCESION DE TIERRAS Y SISTEMAS UNIVERSITARIOS DE ESTADOS UNIDOS, CANADA Y MEXICO.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0030.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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.

Opus teacher head0.021
GPT teacher head0.330
Teacher spread0.309 · 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