MétaCan
Menu
Back to cohort
Record W1987295065 · doi:10.1080/13527266.2014.918050

Communicating brand gender through type fonts

2014· article· en· W1987295065 on OpenAlexaff
Bianca Grohmann

Bibliographic record

VenueJournal of Marketing Communications · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsConcordia University
Fundersnot available
KeywordsAdvertisingFemininityProduct typeBrand equityPerceptionContext (archaeology)Brand awarenessBrand extensionPsychologyBrand managementProduct (mathematics)MasculinityProduct categoryMarketingBusinessMathematicsComputer scienceGeography

Abstract

fetched live from OpenAlex

The marketing literature suggests that positioning a brand in terms of brand gender (i.e., brand masculinity and brand femininity) generates favorable consumer responses, yet there is little research on how brand gender perceptions arise. This research examines whether type font can be employed to create brand gender perceptions in the context of unfamiliar brands. Building on the theoretical framework of personality inferences based on static cues, three studies involving a range of type fonts, brand names, and product categories demonstrate that type font influences consumers' perceptions of brand gender. Type font effects emerged for brand names presented in isolation (Study 1), brand names presented on signage (Study 2a), and brand names on product labels (Studies 2b and 3). Importantly, type font effects on brand gender persisted in the presence of a competing brand gender cue (i.e., brand name with gender associations), and type font and brand name influenced brand gender perceptions independently. A fourth study demonstrates that type fonts representing the brands influence consumers' likelihood to recommend the brand. The article concludes with a discussion of theoretical and brand management implications.

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)0.002
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 score0.689
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.089
GPT teacher head0.310
Teacher spread0.220 · 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 designOther design
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

Citations44
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Marketing CommunicationsSame topicConsumer Behavior in Brand Consumption and IdentificationFrench-language works237,207