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Record W2083103907 · doi:10.1086/378620

The Moderating Effect of Product Knowledge on the Learning and Organization of Product Information

2003· article· en· W2083103907 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.

Bibliographic record

VenueJournal of Consumer Research · 2003
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProduct (mathematics)Knowledge managementBusinessPsychologyComputer scienceMathematics

Abstract

fetched live from OpenAlex

This research examines how differences in the organization of brand information in memory between higher and lower knowledge consumers affects which brands are retrieved when consumers are provided with a usage situation. A spreading activation network model of memory is used to predict the results of an experiment where the usage situations were varied at encoding and repeated recall sessions. The results of the study indicate that lower knowledge consumers tend to learn only the brand information that is appropriate for a usage situation at encoding and do not organize brands by subcategory in memory. Consequently, lower knowledge consumers tend to retrieve the same set of brands regardless of the usage situation at retrieval. Alternatively, higher knowledge consumers learn brand information appropriate for different usage situations and organize this information by product subcategories. This allows higher knowledge consumers to retrieve the brands appropriate for the usage situation at retrieval, and to vary the set of retrieved brands as the usage situation changes.

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)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
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 head0.037
GPT teacher head0.358
Teacher spread0.321 · 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