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Record W4206434597 · doi:10.1353/wlt.2019.0049

Lit Trends: Sewing a New Era of Poetry

2019· article· en· W4206434597 on OpenAlexaboutno aff
Tiffanie Vo

Bibliographic record

VenueWorld Literature Today · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsPoetrySpoken wordLiteratureAmerican poetrySocial mediaArtHistoryArt historyMedia studiesSociologyLaw

Abstract

fetched live from OpenAlex

TWO VIRAL BUTTON POETS Sabrina Benaim, a writer and slam poet from Toronto, Canada, is renowned as the winner of the 2014 Toronto Poetry Slam. Her poem “Explaining My Depression to My Mother” was uploaded on Button ’s YouTube channel and now has over eight million views. Her performances began to go viral across social media and jump-started her writing career. Button published her collection Depression and Other Magic Tricks in 2017. Rudy Francisco is a poet, writer, and social advocate from San Diego. He is arguably one of the most recognizable spoken-word poets and has won several national poetry-slam competitions. He writes about love and the intersectionality among race, class, gender, and identity. YouTube videos of his performances have received more than three million views. In April 2019 he performed his spokenword poem “Rifle” on the Tonight Show Starring Jimmy Fallon, a follow-up to his March 2018 performance on the show. lit trends Sewing a New Era of Poetry by Tiffanie Vo OFTEN WHEN I ASK people what they think of poetry, their first thought is of the famous poets we studied in school—Edgar Allan Poe, Robert Frost, Walt Whitman. That, plus the higher likelihood of scrolling through their phones on social media rather than reading a book of poems, makes many people likely to miss the exciting new voices in poetry. How we view poetry, however, is changing, and Button Poetry (@buttonpoetry ) is one agent of that change. One of the fastest-growing poetry platforms through social media and YouTube, Button Poetry is an independent publisher for performance poetry. The company highlights poetry performances across the United States through media, audio recordings, video, local and national events, publishing chapbooks, and scholarships. According to Button Poetry’s vision statement, it seeks “to broaden poetry’s audience, to expand its reach and develop a greater level of cultural appreciation for the art form.” The company was founded by Sam Cook and Sierra DeMulder in 2011 in Minneapolis , Minnesota, as a website and blog. By 2012 Cook and Dylan Garity rebranded Button Poetry to target audiences through social media and their channel called Button YouTube. They soon launched their third album, The Good News Poetry Tour, and videoed more than fifty poetry performances at the College Unions Poetry Slam Invitational and Women of the World Poetry Slam. Through this, Button YouTube grew exponentially , reaching more than five thousand subscribers. That same year, Button released its first published poetry chapbook, Aziza Barnes’s me Aunt Jemima and the nailgun, winner of the 2012 Button Poetry Prize. After broadcasting the 2013 National Poetry Slam on its YouTube channel, Button ’s popularity skyrocketed, breaking four million views. Now with more than a million subscribers and 220 million views on its YouTube channel, Button has published ten chapbooks and dozens of poetry books and provided a platform for young poets to speak their truths to a global audience online. Tiffanie Vo is a WLT intern studying human relations and sociology at the University of Oklahoma. She is passionate about sharing her Vietnamese culture and advocating for Asian American rights. When she’s not studying, she is performing spoken word at local open mics and taking kickboxing classes four times a week. Creative cross-stitch by Tiffany Marie inspired by Button poet Neil Hilborn’s “Our Numbered Days” WORLDLIT.ORG 7 ...

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)0.004
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.002
Science and technology studies0.0120.012
Scholarly communication0.0180.024
Open science0.0010.012
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0390.014

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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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