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Record W4250485958 · doi:10.32920/ryerson.14665194.v1

Keep it “real”: the co-construction of authentic performance and audience connection in poetry slam competitions

2021· preprint· en· W4250485958 on OpenAlexaffabout
Gloria Eid

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPoetryHonestyContext (archaeology)SociologyMeaning (existential)CredibilityAestheticsDramaturgySpoken wordCraftVisual artsArtMedia studiesLiteraturePsychologyHistorySocial psychologyLawPolitical science

Abstract

fetched live from OpenAlex

With the poetry slam competition – a live, competitive spoken word poetry reading – as context for this project, the study explores the concepts of authenticity and audience connection as they relate to message production and meaning-making processes in the field of professional communication. This project uses a symbolic interactionist perspective and Goffman’s (1959) theory of dramaturgy to investigate the poet-audience relationship and discover how a display of authentic performance works to achieve the goal of audience connection. The researcher interviewed six slam poets from the Greater Toronto and Southwestern Ontario area about their experiences in the poetry slam world. Results from the interviews reveal that authenticity is co-constructed between poet and audience, involving a coalescence of private preparation strategies and onstage performance strategies that help craft a sense of credibility and honesty from the poet that, in turn, contribute to achieving successful audience connection by the slam poet as performer.

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)0.007
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0110.039
Scholarly communication0.0110.008
Open science0.0010.013
Research integrity0.0020.003
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 head0.022
GPT teacher head0.270
Teacher spread0.247 · 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 designQualitative
Domainnot available
GenreEmpirical

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 routes2
Has abstractyes

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Same topicDiscourse Analysis in Language StudiesFrench-language works237,207