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Record W3165507608

La obra del Hno. Marie-Victorin (Dr. Conrad Kirouac) en Cuba: sus plantas y expediciones

2014· article· es· W3165507608 on OpenAlexaboutno aff
Rosalina Berazaín Iturralde, Rosa Rankin Rodríguez, Angela Teresita Leiva Sánchez

Bibliographic record

VenueRevista del Jardín Botánico Nacional · 2014
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtGeography
DOInot available

Abstract

fetched live from OpenAlex

Se presenta una sintesis de la vida y obra del Hno. Marie-Victorin (Dr. Conrad Kirouac, 1885-1944). Se destaca su labor en Cuba, donde realizo siete viajes, en los ultimos cinco anos de su vida, los cuales totalizaron un ano y dos meses, realizando exploraciones practicamente por todo el pais, principalmente con el Hno Leon (J.S.Sauget). Como resultados floristicos describio 24 nuevas especies y cinco nuevas variedades en 11 familias, las recolectas se encuentran en el herbario del Jardin Botanico de Montreal, Canada (MV), con 4853 especimenes, de 2195 especies de 171 familias, otra coleccion en el herbario del Instituto de Ecologia y Sistematica, La Habana (HAC) y en varias importantes instituciones. Le fueron dedicados un genero y 11 especies de diez familias. Los resultados fitogeograficos se encuentran en tres volumenes de los “Itinerarios Botanicos en la Isla de Cuba”, con un aproximado de 1100 paginas y unas 650 ilustraciones (mapas, esquemas de vegetacion y fotos) con descripciones de las  localidades visitadas, en particular de las formaciones vegetales, los principales elementos floristicos y comentarios sobre su distribucion y usos. Por su contribucion a la ciencia cubana le fue otorgada en 1944 la Orden al Merito “Carlos Manuel de Cespedes” en el grado de Oficial por el Ministerio de Estado de Cuba. Recibido: 10 de agosto 2013. Aceptado: 20 de enero 2014

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.020
GPT teacher head0.243
Teacher spread0.224 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2014
Admission routes1
Has abstractyes

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