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Record W6990002535

Configurar - desfigurar - transfigurar: de conversas com versos a diálogo com a poesia

2020· book· pt· W6990002535 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

VenueOpen Repository of the University of Porto (University of Porto) · 2020
Typebook
Languagept
FieldArts and Humanities
TopicLinguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryLexemePolysemyNounHuman lifeCognitive semantics
DOInot available

Abstract

fetched live from OpenAlex

Frequently used in the oral and written discourse which shapes the experience of human daily life, the lexeme «make» and its correspondents in other languages are characterized by a dense polysemy which references numerous ways of making. Expressed as a verb, noun or adjective, the theme/motive of «making» integrates aspects of (material or immaterial) configuration, but also of disfiguration and transfiguration in a multisensory and multisided process, which, by combining cognitive and emotional-affective strands, fuses imagination and reflection. In art, human «making» reaches the borders of the sublime: poiesis challenges the contours of immanence. For this reason, conversations with verses become, in the poetic work of Maria Alberta Menéres, a dialogue with the transcendent.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.541
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.192
Teacher spread0.171 · 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