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Record W3106773095 · doi:10.3917/comla1.205.0129

Le concept d’espace public à l’épreuve de ses actualisations en contexte de mobilisations politiques numériques en Afrique subsaharienne francophone

2020· article· fr· W3106773095 on OpenAlexaff
Evariste Dakoure Dakouré, Simon Gadras

Bibliographic record

VenueCommunication & langages · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Ethnography
Canadian institutionsUniversité LavalUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceFrenchArt

Abstract

fetched live from OpenAlex

L’ouverture démocratique des années 1990 a préparé les mobilisations politiques ayant secoué depuis 2010 de nombreux pays d’Afrique subsaharienne francophone. L’essor d’Internet accompagne les bouleversements sociopolitiques à l’œuvre depuis trente ans dans ces pays et vient, en lien avec les médias traditionnels, redessiner ce que l’on qualifie habituellement d’« espace public ». Dans un double mouvement, l’article sollicite ce concept, forgé à partir de cas européens et non dénué d’intentions normatives, après un réexamen critique de ses soubassements théoriques ; et il l’enrichit, le cas africain permettant notamment de penser à nouveaux frais les formes d’articulation entre sphères privée et publique.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.089
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0080.021
Scholarly communication0.0080.010
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.074
GPT teacher head0.331
Teacher spread0.257 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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