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Record W3214030687 · doi:10.4000/communication.14504

Profils des youtubeurs cyberactivistes en Algérie

2021· article· fr· W3214030687 on OpenAlexaffvenue
Aïssa Merah, Nacer Aoudia, Nabila aldjia Bouchaala

Bibliographic record

VenueCommunication · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Les auteurs se sont intéressés à l’usage de la plateforme YouTube par les cyberactivistes algériens et tout particulièrement au profil de ces acteurs devenus des sources d’information, des animateurs de débat, des experts, des acteurs politiques et des guides d’opinion en ligne et qui ont gagné une réputation importante dans le paysage médiatique et discursif. Pour leur étude, ils ont choisi un sujet d’actualité investi par les youtubeurs algériens soit le mouvement de contestation du 22 février 2019 à quelques mois de l’échéance électorale d’avril 2019.

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)0.002
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: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.374
Teacher spread0.302 · 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
Published2021
Admission routes2
Has abstractyes

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