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Record W2417427307

Introducción a la metodología STEM

2016· article· es· W2417427307 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

VenueUniversidad Peruana de Ciencias Aplicadas (UPC) · 2016
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicEducational Research and Science Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceComputer scienceArt
DOInot available

Abstract

fetched live from OpenAlex

La Universidad Peruana de Ciencias Aplicadas (UPC), a traves de su Facultad de Educacion, organizo el Congreso Internacional de Educadores UPC 2016 - “Innovacion en la Educacion”. Este importante evento que se realizo los dias 2, 3 y 4 de febrero en el Centro Convenciones del Colegio Medico del Peru y en el Campus Villa de la UPC, conto con la participacion de un distinguido grupo de 9 expositores internacionales provenientes de paises como Estados Unidos, Espana, Australia, Canada y Alemania, y 20 destacados especialistas nacionales quienes compartieron su conocimiento a traves de Conferencias Magistrales y Paneles de expertos. http://bit.ly/1T6hIiN

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.037
GPT teacher head0.286
Teacher spread0.249 · 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