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Record W7120816706

The city as an enunciator space: colombian poetry of the XXIst century

2021· article· es· W7120816706 on OpenAlexaboutno aff
David Alonso Bueno

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2021
Typearticle
Languagees
FieldArts and Humanities
TopicCultural and Social Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryLatin AmericansPeriod (music)Identity (music)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Colombian poetry of the 20th century is reflection of a critical society that takes the word as a spearhead and the city as a trench. We propose to study linguistic-cultural identity components of the Latin American city as sedimentation existing in the production of two Colombian poets: Carlos Alberto Troncoso and Juan Manuel Roca. Both of them, used to lived in a Bogotá that is transformed on the darkness, and that transforms idyllic places into another city, usually prohibited, hidden. We start from the discussion about the beginnings of Latin American cities that were transformed until their fragmentation in the XXI century (RAMA, 1998; BRANDÃ0, 2007). Later, we analyze four Colombian poems that appear during the last quarter of the 20th Century and collect some fragments of the city on that period of time; such poems are opposed to speeches that present the city as finished, perfect or harmonious, mainly to the foreigner, remembering that “anyone is a foreigner and about to enter maps of oblivion” (ROCA, 1980) in any street of the city. Finally, we discuss possible scopes of the work involving literature about the city as part of a linguistic-enunciative curriculum.

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)0.000
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 score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0070.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.251
Teacher spread0.228 · 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
Published2021
Admission routes1
Has abstractyes

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