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Analysis of Presupposition and its Function in Advertisement

2010· article· en· W2120577250 on OpenAlexvenueno aff
Ying-fang Wang

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsPresuppositionPersuasionFunction (biology)PragmaticsLinguisticsAdvertisingSociologyHumanitiesArtPhilosophyBusiness

Abstract

fetched live from OpenAlex

In modern society, advertising plays a very important role in people’s daily life. The language of advertising is basically persuasive; therefore all possible means, linguistic or non-linguistic, have been adopted by advertisement writers to serve the purposes of advertising. As a very important topic in linguistic, especially in pragmatics, presupposition is frequently employed in order to enhance the effects of persuasion in advertisements because of its own special properties. There exist some relations between presupposition and advertising language. This paper gives a brief introduction of pragmatic presupposition and analyzes its functions in advertising. The emphasis of this paper is placed on presupposition and its pragmatic functions of advertising language from three angles: presupposition and advertisement information, presupposition psychology and market strategies of advertisements. By presenting advertising examples in the process of analysis, the author hopes that the paper can be some help of designing advertising language. Key words: Presupposition, Advertising Language, Pragmatic Presupposition Function, Strategy Resume: Dans la societe moderne, la publicite joue un role tres important dans la vie courante et la communication du peuple. Au fond, le langage publicitaire est une sorte de langage de persuasion. A ce effet, le concepteur de publicite s’efforce d’employer toutes les techniques langagiere et non langagiere pour atteindre le but de propagande de la publicite. En tant qu’une problematique importante de la pragmatique, la presupposition, grâce a ses propres caracteristiques, est toujours utilisee par le concepteur pour renforcer l’effet de persuasion de la publicite. L’article present argumente la fonction positive de la presupposition dans la publicite sur les trois plans suivants : la presupposition et la communication de l’information publicitarie, la presupposition et la strategie psychologique publicitaire, la presupposition et la strategie de marche. De plus, l’argumentation est illustree d’exemples de publicite. L’auteur espere que cet article peut servir au design du langage publicitaire. Mots-Cles: presupposition, langage publicitaire, presupposition pragmatique, fonction, strategie

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.670
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.280
Teacher spread0.269 · 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.

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

Citations20
Published2010
Admission routes1
Has abstractyes

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