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Record W3091322963 · doi:10.33137/q.i..v39i2.33263

Stories of Blogs, E-books and Time: Slowdown, Participation and Resistance in Wu Ming’s Giap and <i>L’archivio e la strada</i>

2019· article· en· W3091322963 on OpenAlexfundvenueno aff
Paolo Saporito

Bibliographic record

VenueQuaderni d italianistica · 2019
Typearticle
Languageen
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
FundersMcGill University
KeywordsReading (process)Consumption (sociology)Media studiesResistance (ecology)CommodificationDimension (graph theory)HumanitiesArtSociologyAdvertisingPolitical scienceAestheticsLawBusinessEconomicsEconomy

Abstract

fetched live from OpenAlex

This paper analyses the relationship between Wu Ming’s blog Giap and the e-book Giap: L’archivio e la strada, where the writing collective gathered a selection of blog posts published between 2010 and 2012. Focusing on the temporal dimension of on-line and off-line reading practices, this paper demonstrates that the transmedia transfer of content from the blog to the e-book—a hybrid medium available both on-line and off-line—affects the experience of the reader offering an alternative reading rhythm, slowing it down and engendering a more thoughtful and critical approach to its content. The focus on the temporal dimension of reading practices must be framed into Wu Ming’s cultural project, primarily aimed at sabotaging and undermining the rhythm of life, production, and consumption imposed by Capitalism. As part of this project, the blog Giap promotes practices of resistance to the commodification of cultural products and impulsive forms of content consumption. In particular, the content available on Giap is protected by copy-left policies, while the comments to its most thoughtful posts are blocked until seventy-two hours after their publication. The transmedia transfer of posts from the blog to the e-book reorders their sequence, establishes a different relationship between reader and content and encourages the latter to reflect on the texts within a restructured temporal dimension. The publication of the e-book therefore represents a further form of slowdown that brings about the possibility of an alternative to on-line impulsive reading practices, bridges on-line and off-line dimensions, tackles issues of accessibility and preserves its content from on-line dispersive fluxes.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.054
GPT teacher head0.278
Teacher spread0.224 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2019
Admission routes2
Has abstractyes

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