MétaCan
Menu
Back to cohort
Record W1592768480

Le «Printemps érable» : une invitation à repenser les relations publiques politiques

2012· article· fr· W1592768480 on OpenAlexaffabout
Alexandre Provencher

Bibliographic record

VenueCommposite · 2012
Typearticle
Languagefr
FieldPsychology
TopicDiverse Academia and Research Topics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPoliticsPolitical sciencePublic sphereSocial functionHumanitiesFunction (biology)SociologySocial scienceLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

La situation politique, mediatique et sociale du « Printemps erable » a demontre une incomprehension de la fonction des relations publiques politiques. Pour le gouvernement Charest et les strateges du Parti liberal du Quebec, les actions communicationnelles servaient vraisemblablement aux interets du parti et de ses allies. Cependant, les theories de l’espace public accordent une preponderance au role social de la communication publique. Questionnant la pratique des relations publiques politiques du PLQ lors de la greve etudiante, ce texte invite a une reflexion sur ses fonctions reelles dans la sphere publique. The political and media events surrounding the student strike in Quebec, referred to as “Printemps erable,” showed a misunderstanding of the political function of public relations’ function. For the Charest government and the Liberal Party’s strategists, public relations only served partisan interests. However, theories of the public sphere give a greater importance to the social role of public relations. Questioning PLQ’s practices of political public relations in regard of the student strike, this article invites the reader to think about political public relations’ actual function in the public sphere.

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.588
Threshold uncertainty score0.820

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0200.041
Scholarly communication0.0170.009
Open science0.0010.005
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0120.001

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 head0.083
GPT teacher head0.399
Teacher spread0.316 · 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 designQualitative
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
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueCommpositeSame topicDiverse Academia and Research TopicsFrench-language works237,207