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River Revery: Penn Kemp nos convida a caminhar junto ao Rio Thames

2021· article· pt· W4385173108 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

VenueInterfaces Brasil/Canadá · 2021
Typearticle
Languagept
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Resenha de RIVER REVERY, de Penn Kemp CPenn Kemp é uma poeta canadense conhecida de brasileiros por sua produção poética. Já esteve em congresso da ABECAN (Belo Horizonte, novembro de 2003) quando falou sobre sua poesia performática, vindo depois a Porto Velho onde apresentou e representou alguns de seus poemas junto com poetas e músicos locais. Penn teve também alguns poemas traduzidos para o Português e publicados pelo Núcleo de Estudos Canadenses (RO) em parceria com a ABECAN. Hoje, aos setenta e sete anos, a poeta de London Ontario continua fazendo sua “catequese poética”, vivendo e escrevendo intensamente, congregando, articulando, diminuindo barreiras por meio de sua poesia. Sua inspiração parte de seres humanos e não humanos que comungam com ela a atmosfera ao seu redor, no sul de Ontario. Assim, Penn integra sua poesia a outras artes, trazendo, muitas vezes, o lúdico para sua produção criativa. Por isso é também reconhecida como inovadora na forma de apresentar seus escritos desde a publicação em 1972.

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), Scholarly communication, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0460.003

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 head0.027
GPT teacher head0.256
Teacher spread0.229 · 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