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Record W4321372778 · doi:10.1017/s0008423922000907

Couverture médiatique des enjeux électoraux au Québec de 1994 à 2018

2023· article· fr· W4321372778 on OpenAlexaffabout
Marc-Antoine Martel, Richard Nadeau

Bibliographic record

VenueCanadian Journal of Political Science · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Résumé Cette étude examine l’évolution de la couverture accordée aux enjeux dans la presse écrite durant les campagnes au Québec de 1994 à 2018. Deux constats ressortent de cette étude. On assisterait d'abord à une diversification de l'ordre du jour médiatique s'expliquant notamment par un recul de la question nationale dans l'espace médiatique au profit d'enjeux comme l'environnement et l'immigration. Le recadrage de la question nationale nettement plus axée aujourd'hui sur la dimension identitaire que sur la question du statut politique du Québec est frappant. Ces changements semblent indiquer la montée d'un axe politique libéral-autoritaire dans la province, alors même que l’émergence du multipartisme ouvre la porte à un réalignement politique durable. Ces observations tendent à confirmer la perspective voulant que l'ordre du jour lors d'une campagne résulte de l'interaction entre les médias, les partis et les électeurs et qu'il offre ainsi un reflet adéquat de l’évolution de la dynamique politique dans une société donnée.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.040
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.032
GPT teacher head0.289
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 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

Citations3
Published2023
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Political ScienceSame topicCanadian Identity and HistoryFrench-language works237,207