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Record W1984350340 · doi:10.1353/abr.2011.0005

The Tweet Made Insightful

2011· article· en· W1984350340 on OpenAlexaboutno aff
Mark Wallace

Bibliographic record

VenueAmerican book review/˜The œAmerican book review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsSocial mediaRealmIdeologySubject (documents)Media studiesMass mediaNounLiteratureSociologyPsychologyHistoryAestheticsComputer scienceArtLawWorld Wide WebArtificial intelligencePoliticsPolitical science

Abstract

fetched live from OpenAlex

The Tweet Made Insightful Mark Wallace (bio) Anti-Twitter: 150 50-Word stories. Harold Jaffe. Raw Dog Screaming Press. http://www.rawdogscreaming.com. 163 pages; cloth, $24.95; paper, $13.95. Click for larger view View full resolution Detail from cover If it was inevitable that writers would take up the problems and possibilities of Twitter, it was also likely that Harold Jaffe would be one of the first to do so. Jaffe has long been interested in the relationship\ between mass media and literature, seeing the two not as separate, autonomous realms but as intertwined, subject to similar historical conditions and often enough having similar goals. One of his earlier and best books, False Positive (2002), showed how media stories and literature are both constructions designed to inculcate, on a subliminal level, readers into various ideologies. In False Positive, it's less through the message than through the details, nouns, verbs, and adjectives which readers unquestioningly accept as normal that both mass media and literature prop up dominant global ideologies. In Anti-Twitter: 150 50-Word Stories, Jaffe is not interested in critiquing the shallow interactions that Twitter makes possible and that are easily mocked by the mass media that also loves them. Instead, Jaffe's book suggests that Twitter isn't so easily dismissed. Those who relegate Twitter to a sub-literary realm in which developing one's thoughts seems outlawed overlook Twitter's ability for social manipulation as well as the possibility of using it for socially conscious and self-aware literary creation. To critique shallowness for being shallow is shallow, Anti-Twitter suggests. Instead, Jaffe's goal is to take shallowness, as well as systematic restrictions on what can be said, and do something insightful with them. As he has done before in False Positive and elsewhere, Jaffe constructs his fifty-word stories in Anti-Twitter by borrowing mass media language then twisting that language for new ends. Most of the stories are presented as brief snippets of news, which many originally were, although a few stories vary the approach. Some stories stay on one topic throughout their whole fifty words, while others offer tangents, counterpoints, or subplots, just in case anyone thinks that fifty is only enough words to tell one story. Even at their most ludicrous, contradictory, or appalling, it's often impossible to know which words Jaffe found and which he changed. Which is part of Jaffe's point, and not for the first time in his work: all writing is intervention into the world and never merely portrays it. How much can one portray in fifty-word stories, even when there are 150 of them? Jaffe's answer is simple: pretty much the whole world. Not every aspect of it, obviously, but there's no doubt that these stories are global in their reach. Although the primary focus falls on the US, other locations visited in these stories include Sweden, Great Britain, Germany, China, Thailand, Italy, Latvia, Denmark, Canada, Pakistan, Iraq, Israel, India, Chad, France, Kenya, Japan, Tanzania, Albania, Australia, Venezuela, Russia, Poland, Nigeria, Spain, Egypt, Nepal, Ghana, Switzerland, Austria, Palestine, Afghanistan, Brunei, Greece, Belgium, and Tibet. For each location visited by the media, something can be found and exploited as news. Something odd, at the least, and usually much more than odd. The stories are by turns hilarious, creepy, repellant, brutal, and unfathomable. It's safe to say that the stories in the book all tend towards the seamy and sensational. Both the mass media and Jaffe know that people often want to read about things that titillate them but at the same time can be denounced. Consider the story "Albino": Tanzania is urging the public to identify those guilty of murdering humans with albinism. 73 albinos have been slaughtered in the last year. Albino body parts are sold to witchdoctors who compose potions designed to make people wealthy. 231 people have already been arrested. No one has been convicted. In "Albino," readers are treated to a full dose of the exoticizing racism of the global media, which searches out and revels in the barbaric while at the same time congratulating itself on its own superiority. The fact that the story...

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)0.002
metaresearch head score (Gemma)0.015
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: Other · Consensus signal: Other
Teacher disagreement score0.108
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0120.008
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.1080.075

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 head0.032
GPT teacher head0.311
Teacher spread0.278 · 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
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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