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Record W2610459705 · doi:10.7202/1039518ar

Analyse de statistiques historiques sur le lectorat du quotidien québécois Le Devoir de 1910 à 2000

2017· article· fr· W2610459705 on OpenAlexaffvenueabout
Marie-Ève Carignan, Claude Martin

Bibliographic record

VenueRevue d histoire de l Amérique française · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Le quotidien montréalais Le Devoir, fondé en 1910 comme un journal indépendant, nationaliste et catholique, a joué un rôle important dans l’évolution de la société québécoise. Selon plusieurs, il fut surtout lu par l’élite sociale et économique du Canada français, puis du Québec. Nous analysons ici l’importance chiffrée du lectorat du Devoir et certaines de ses caractéristiques en nous basant sur les données de tirage de ce quotidien et d’autres journaux. Nous regardons aussi la distribution géographique du journal ainsi que les résultats de certaines enquêtes auprès de ses lecteurs et de l’élite canadienne-française. L’analyse révèle que Le Devoir représente une part relativement stable du tirage des grands journaux en français à Montréal, mais que son lectorat hors du Québec a fortement diminué avec le temps. Son lectorat comporte bien une composante de l’élite québécoise, mais aussi d’autres classes de la société.

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)0.007
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 score0.037
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0120.024
Science and technology studies0.0040.002
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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

Citations0
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueRevue d histoire de l Amérique françaiseSame topicCanadian Identity and HistoryFrench-language works237,207