MétaCan
Menu
Back to cohort
Record W3038093992 · doi:10.7202/1070042ar

L’Internet et les médias sociaux : un effet sur les attitudes des millénariaux canadiens à l’égard de la politique1

2020· article· fr· W3038093992 on OpenAlexaffvenueabout
Philippe Duguay

Bibliographic record

VenuePolitique et Sociétés · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cette étude explore la relation entre certains comportements en ligne des millénariaux canadiens et leurs attitudes à l’égard de la politique. Nous utilisons les données longitudinales de l’Étude canadienne de la jeunesse (ECJ), un sondage en deux vagues à huit ans d’intervalle (n = 967), et proposons des modèles pour étudier l’influence des comportements en ligne sur trois attitudes générales à l’égard de la politique. L’analyse des résultats suggère que la communication interpersonnelle et la recherche d’information en ligne augmentent l’intérêt politique. La recherche d’information politique en ligne augmente également le sentiment que le gouvernement fait quelque chose pour les personnes comme nous. Toutefois, la confiance envers le gouvernement est négativement associée à la participation à des discussions politiques en ligne et positivement associée aux activités de réseautage en ligne.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.222
GPT teacher head0.457
Teacher spread0.235 · 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 designObservational
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
Published2020
Admission routes3
Has abstractyes

Explore more

Same venuePolitique et SociétésSame topicSocial Media and PoliticsFrench-language works237,207