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Record W1975183303 · doi:10.2466/pms.104.2.419-437

Voice and Persuasion in a Banking Telemarketing Context

2007· article· en· W1975183303 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePerceptual and Motor Skills · 2007
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsUniversité du Québec à MontréalHEC Montréal
Fundersnot available
KeywordsPersuasionPsychologyCredibilitySource credibilityContext (archaeology)ModerationAdvertisingPersuasive communicationSocial psychologyBusiness

Abstract

fetched live from OpenAlex

Voice has been neglected in research on advertising and persuasion. The present study examined the influence of voice and sex on the credibility of the voice source in a banking telemarketing context as well as with regards to the attitude toward the advertisement, and subjects' behavioral intention. An experiment using voices of a man and a woman was conducted. A recorded mock-telemarketing message consisted of an advertisement for an ATM card offered by a Canadian bank. Subjects were undergraduate students (N=399; 71.6% women, 28.4% men; M age=26.5 yr., SD = 7.4). They completed a questionnaire after hearing the message in telemarketing conditions. Analysis indicated a moderate intensity, an unmarked intonation, and a fast speech rate are associated with a more credible source than the other combinations. Sex was not a significant moderator in the relationship between voice characteristics and source credibility. Voice characteristics significantly affected attitudes toward the advertisement and behavioral intention.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.249
Teacher spread0.239 · 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