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Record W2776129758 · doi:10.4000/communiquer.2272

Internet et la fin de la dystopie

2017· article· fr· W2776129758 on OpenAlexaffvenue
Andrew Feenberg

Bibliographic record

VenueCommuniquer Revue de communication sociale et publique · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Les discours portant sur les implications de l’Internet sont souvent ambivalents, partagés entre des aspirations utopiques et des peurs dystopiques. Cette contribution vise à sortir la discussion de ce dilemme éculé. La place prépondérante de l’Internet et ses vastes implications pour la vie moderne ne peuvent être décrites adéquatement en termes d’utopie ou de dystopie, bien que certains de leurs aspects accompagnent de plus en plus sa lente maturation. Ceci est particulièrement évident lorsqu’on considère l’impact de l’Internet sur la sphère publique. C’est dans ce domaine que se produit quelque chose de vraiment nouveau. Il s’agit ici de préciser le sens de cette affirmation.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.015
Scholarly communication0.0080.006
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.058
GPT teacher head0.379
Teacher spread0.320 · 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".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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