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Record W3025811557

Seymour Mayne, "Cusp", "Sleep In", "Flight" y "Waken"

2013· article· en· W3025811557 on OpenAlexaboutno aff
Seymour Mayne

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCusp (singularity)GeologyGeometryMathematics
DOInot available

Abstract

fetched live from OpenAlex

La siguiente selección de poemas pertenece a la antología de reciente aparición On the Cusp / Albores / À l’orée. Sonetos de una palabra (2013) del poeta canadiense Seymour Mayne. Mayne nació en Montreal en 1944 e inició su carrera literaria cuando era muy joven. Su obra, que ha transitado la huella de distintos géneros literarios, ha sido acogida en el seno de distintas lenguas y culturas. Con fervor y gran talento, Mayne ha innovado en el soneto de una palabra, lo cual lo ha llevado por Canadá y por distintos países del mundo para dar charlas y conferencias sobre esta nueva forma de poesía. En esencia, se trata de un poema de catorce versos, con una sola palabra por verso, que se caracteriza por su concisión y gran efecto visual. La versión al español de los poemas fue realizada por la profesora y traductora María Laura Spoturno et al. en el marco de proyectos de investigación y traducción que se llevaron a cabo en la cátedra de Traducción Literaria I (Universidad Nacional de La Plata, Argentina) en los que participaron más de dos centenas de estudiantes durante los ciclos lectivos 2008, 2009, 2010 y 2011. Por su parte, la versión al francés de los sonetos es responsabilidad de la traductora y poeta francesa Sabine Huynh.

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)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.041
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0250.007

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 head0.026
GPT teacher head0.222
Teacher spread0.196 · 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
Published2013
Admission routes1
Has abstractyes

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