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Record W1594444303 · doi:10.14428/rec.v33i33.51883

La publicité corporate des multinationales, entre standardisation et adaptation: étude des pratiques de L’Oréal, Benetton et Ford Motor Company.

2011· article· fr· W1594444303 on OpenAlexfundno aff
Mélanie Notte

Bibliographic record

VenueRecherches en Communication · 2011
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
FundersUniversité LavalL'Oreal USAFord Motor Company
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cette recherche concerne la standardisation et l'adaptation de la publicité des entreprises internationales dans les secteurs de la mode, des cosmétiques et de l'automobile. L'objectif est d'analyser quels éléments composant la publicité sont adaptés ou standardisés tous secteurs confondus. Nous avons exploré les publicités magazine et les affiches publicitaires des entreprises sélectionnées en utilisant l'analyse de contenu de type quantitatif. Les résultats montrent qu'il existe des différences et des récurrences intersectorielles. L'ensemble des entreprises souhaite diffuser un discours corporate homogène internationalement tandis que la communication produit est, quant à elle, adaptée. Les éléments publicitaires se rapportant au discours corporate sont standardisés tandis que les éléments se rapportant au discours produit sont adaptés sauf chez Benetton. Toutefois, même si certains messages véhiculés sont homogènes internationalement, les éléments tels que la langue et les expressions langagières servant à exprimer ces messages sont, quant à eux, adaptés.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.498
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.342
GPT teacher head0.366
Teacher spread0.024 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2011
Admission routes1
Has abstractyes

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