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Record W4298006913 · doi:10.4000/communication.15973

Le slacktivisme

2022· article· fr· W4298006913 on OpenAlexaffvenue
Chiraz Dabbabi, Mireille Lalancette, Léo Trespeuch

Bibliographic record

VenueCommunication · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Les médias socionumériques, dont Facebook, Twitter et Instagram, ont créé une nouvelle dynamique d’activisme social : le slacktivisme. Le slacktivisme désigne les activités de militantisme, via les médias socionumériques, à faible risque et faible coût, entreprises par des jeunes dont le but est de sensibiliser, de produire un changement ou d’apporter une satisfaction personnelle. Dans une première partie, les auteurs proposent une revue de littérature sur le slacktivisme. Dans une seconde partie, une mise en perspective des deux courants de la littérature sur le slacktivisme a été mise en évidence. Le principal résultat de ce travail est de circonscrire le concept de slacktivisme comme une nouvelle forme de militantisme en ligne qui permet aux individus d’exercer un fort impact avec un minimum d’effort.

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)0.009
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 score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0040.020
Scholarly communication0.0080.008
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.002

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 head0.063
GPT teacher head0.343
Teacher spread0.281 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

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