MétaCan
Menu
Back to cohort
Record W4410241878 · doi:10.1177/20515707251336855

Toward a better understanding of the embodied experience of disability: A qualitative investigation of consumers with olfactory impairments

2025· article· en· W4410241878 on OpenAlexfundno aff
Anthony Beudaert

Bibliographic record

VenueRecherche et Applications en Marketing (English Edition) · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
FundersUniversité Laval
KeywordsEmbodied cognitionPsychologyOlfactionQualitative researchCognitive psychologyNeuroscienceComputer scienceSociologyArtificial intelligenceSocial science

Abstract

fetched live from OpenAlex

Since the 1990s, marketing research has focused on the inclusion of consumers with disabilities, identifying environmental barriers that hinder their participation. However, despite the attention given to olfactory impairments during the COVID-19 pandemic, they remain underexplored. The embodied experience of disability, understood as the way individuals live and perceive their bodies in interaction with their environment, remains underexplored, often overshadowed by studies on the design of commercial spaces. This article aims to fill this gap by addressing two questions: (1) What forms of embodied experience are associated with olfactory impairments among consumers? (2) How do these forms of embodied experience shape their consumption behaviors? An analysis of 21 semi-structured interviews with consumers experiencing hyposmia (partial loss of smell) or anosmia (complete loss of smell) reveals four forms of embodied experience: diminished, intrusive, forgotten, and elusive perception. These findings shed light on the impact of olfactory impairments and lead to recommendations for adapting marketing strategies to enhance the experience of affected individuals.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.054
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.167
GPT teacher head0.356
Teacher spread0.189 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueRecherche et Applications en Marketing (English Edition)Same topicConsumer Behavior in Brand Consumption and IdentificationFrench-language works237,207