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Record W2801017482

Informe sobre sitios webs de Unidades de Investigación de la UNLP

2017· article· es· W2801017482 on OpenAlexfundno aff
José María Maitini, Gonzalo Luján Villarreal, María Marta Vila, Ezequiel Manzur, Marisa Raquel De Giusti

Bibliographic record

VenueAmericanae (AECID Library) · 2017
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsnot available
FundersInstitut de Physique du Globe de ParisInternational Council for Canadian StudiesIllinois Department of Natural Resources
KeywordsGeographyHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Las universidades poseen el reto de dar mayor visibilidad de sus producciones científicas y de aumentar su uso e impacto en toda la comunidad. La visibilidad web de la producción académica, científica y tecnológica, entendida como facilidad de reconocimiento y acceso a los contenidos, es un elemento fundamental para la distribución equitativa del conocimiento y para la construcción de una representación interactiva del patrimonio cultural. Desde la Declaración de Budapest, la ciencia se entiende como servicio a la humanidad y como herramienta para la comprensión de la naturaleza humana y la sociedad en su conjunto. En este marco, la visibilidad de la producción científica se vuelve instrumento necesario para cumplir con dichos objetivos.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.019
Science and technology studies0.0030.003
Scholarly communication0.0200.033
Open science0.0020.009
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0480.016

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 head0.023
GPT teacher head0.417
Teacher spread0.394 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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