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Record W7065945309

Fidel Castro y la medicina revolucionaria cubana

2017· article· es· W7065945309 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Quarter (Canadian coin)Order (exchange)Battle
DOInot available

Abstract

fetched live from OpenAlex

"Introducción: Fidel Castro constituye un ejemplo indeleble a seguir por todos los cubanos. Su incansable lucha determinó el desarrollo y consolidación de la Medicina en Cuba. Objetivo: describir la relación existente entre la figura histórica de Fidel Castro Ruz y la medicina revolucionaria cubana. Método: se realizó una revisión bibliográfica y documental de los diferentes artículos publicados relacionados con la figura de Fidel Castro Ruz y su relación con el desarrollo de la Medicina cubana actual. Se utilizaron métodos de análisis-síntesis, deducción-inducción e histórico-lógico. Conclusiones: el líder indiscutible de la Revolución Fidel Castro Ruz jugó un rol fundamental en el surgimiento y consolidación de la Medicina Revolucionaria, y su presencia desde el inicio significó el cumplimiento de lo propuesto en el programa del Moncada."

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)0.001
metaresearch head score (Gemma)0.001
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 score0.194
Threshold uncertainty score0.385

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0040.005
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.017
GPT teacher head0.318
Teacher spread0.300 · 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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