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Record W3156398137

Digital Obsolescence? Abandoned blogs in the francophone African literary field

2020· article· en· W3156398137 on OpenAlexvenueno aff
Kristen Stern

Bibliographic record

VenuePostcolonial text · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsObsolescenceFrenchPublishingField (mathematics)Literary criticismSociologyMedia studiesThe artsHistoryAestheticsLiteratureArtVisual artsHumanities
DOInot available

Abstract

fetched live from OpenAlex

This essay analyzes the blogs or websites of three francophone African writers: Alain Mabanckou, Leonora Miano, and Bessora, who at one time all had active blogs or websites related to their creative work. Digital spaces are still comparatively marginalized in the Francophone literary field when compared with institutions such as historically established publishing houses, literary prizes, and even geographical centers of the literary arts. In this transitional moment between traditional and digital modes of production, African writers working in French often embrace new creative platforms without turning their backs on the old. At times, they even leave the digital behind for historically established codes and forms, abandoning online spaces as they gain footholds in the Parisian-centered literary industry. Of the writers considered here, Bessora is the only one who still maintains her blog. Mabanckou’s online presence has shifted to other platforms like Instagram and Twitter, with more promotional (as opposed to aesthetic) motivations, while Miano has largely gone silent from the spaces she once occupied. Specifically for African writers working in French, I posit that their different, evolving uses of digital platforms reflect their rising relative positions in the literary field in French.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score0.535

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 communication0.0000.000
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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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 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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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