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Record W4392749694 · doi:10.3917/dm.063.0005

Pourquoi publier un article dans Décisions marketing  ?

2011· article· fr· W4392749694 on OpenAlex
Élisabeth Tissier-Desbordes, Éric Vernette

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDécisions Marketing · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsnot available
FundersUniversité de LimogesUniversité de NantesCentre National de la Recherche ScientifiqueUniversité de RouenUniversité de ToulouseUniversité de PoitiersUniversité du Québec à MontréalUniversité de BourgogneUniversité François-RabelaisUniversité de Strasbourg
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La multiplication des canaux de distribution et l’intensification de la concurrence liée à l’internationalisation croissante des chaînes de distribution (à l’instar de Zara, H&M ou Gap) ont fait de l’environnement du point de vente un outil stratégique. Celui-ci doit en effet permettre aux distributeurs de se différencier et de fidéliser leurs clients en leur offrant des conditions de shopping agréables. De plus en plus nombreux sont aujourd’hui les points de vente où se mêle la diffusion de musique et d’odeurs dans des environnements colorés. Face à ce constat, trois questions fondamentales se posent. Le marketing sensoriel représente-t-il seulement un outil stratégique destiné à renforcer le positionnement de l’enseigne ? Doit-il davantage être vu comme un vecteur de marketing relationnel ou comme un outil transactionnel pour influencer subrepticement le comportement en magasin du consommateur ? Dans ce dernier cas, le consommateur ne se sent-il pas l’objet d’une « manipulation sensorielle » ? Au travers d’exemples cette tribune propose différents éléments de réflexion.

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.

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)0.033
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0040.002
Scholarly communication0.0000.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.004

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 head0.101
GPT teacher head0.344
Teacher spread0.243 · 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