MétaCan
Menu
Back to cohort
Record W2155935588 · doi:10.1002/cb.120

Information search patterns for gift purchases: a cross‐national examination of gender differences

2003· article· en· W2155935588 on OpenAlexaff
Mark Cleveland, Barry J. Babin, Michel Laroche, Philippa Ward, Jasmin Bergeron

Bibliographic record

VenueJournal of Consumer Behaviour · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsRoyal Bank of CanadaConcordia University
Fundersnot available
KeywordsSituational ethicsClothingConstruct (python library)PsychologyConfirmatory factor analysisSample (material)MarketingExploratory analysisPersonalityExploratory factor analysisMacroSocial psychologyAdvertisingBusinessComputer sciencePolitical sciencePsychometricsDevelopmental psychologyData science

Abstract

fetched live from OpenAlex

Abstract This exploratory study examines the underlying determinants as well as the dimensionality of in‐store information searches for a Christmas clothing gift, focusing specifically on the differential effect of gender on information acquisition. A self‐administered survey, containing personality, situational and standard demographic measures, was administered to actual consumers in three Western countries, shortly after the Christmas season. Confirmatory factor analysis verified that in‐store information is indeed a multidimensional construct, composed of three distinct factors: macro information search, micro information search and salesperson help. Consistent with expectations, compared to males, females tended to acquire macro and micro information to a greater extent; males were more apt to seek the assistance of store sales personnel than females. This pattern was generally robust across the three countries. Other observed gender and/or country‐sample differences are discussed. Copyright © 2002 Henry Stewart Publications Ltd.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.074
GPT teacher head0.312
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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

Citations161
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Consumer BehaviourSame topicConsumer Behavior in Brand Consumption and IdentificationFrench-language works237,207