MétaCan
Menu
Back to cohort
Record W2594882901 · doi:10.14321/letrfeme.42.1.0115

Poetry, Bodies and the Shadow of Nation at the 2012 London Olympics

2016· article· en· W2594882901 on OpenAlex
María Figueredo

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLetras Femeninas · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsYork University
Fundersnot available
KeywordsPoetryPerformative utteranceSubjectivityShadow (psychology)LiteratureCultural heritageHistoryEvent (particle physics)ArtAestheticsSociologyPhilosophyPsychologyEpistemologyArchaeology

Abstract

fetched live from OpenAlex

Abstract This essay examines the poetic performances of Rocío Cerón, Melisa Machado and Lía Colombino at the Poetry Parnassus, a non-competitive cultural event planned as part of the 2012 London Olympics. They were chosen to represent Mexico, Uruguay and Paraguay, three of the Latin American nations that competed athletically at the 2012 event. After describing this competition, the essay goes on to explore the performative and communicative strategies used by each of these three poets and it does so by relying on the notion of poesía expandida. The final three sections contain an analysis of the brief selections each of the poets performed. Despite marked differences between these poets, the essay argues that they share an interest in dismantling postcolonial notions of subjectivity, and that they do so by highlighting the importance of the body in the performance of their poetry, and the importance of the prehistoric origins of their respective selves in their poetic imagery. Only Cerón addresses her relationship with her national heritage directly in the poem she chose to perform; but the other two poets’ marked preoccupation with their animal, pre-cultural bodies reveals a generalized uncertainty, or discomfort, towards the postcolonial histories they have inherited.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.281
Teacher spread0.252 · 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