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Record W2555493865 · doi:10.1093/jcr/ucw069

Souvenirs to Forget

2016· article· en· W2555493865 on OpenAlexafffund
Jean‐Sébastien Marcoux

Bibliographic record

VenueJournal of Consumer Research · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsHEC Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsForgettingMemory workSemioticsEthnographyWorld trade centerAestheticsSociologyPsychologyTerrorismHistoryCognitive psychologyEpistemologyArtAnthropologyArchaeology

Abstract

fetched live from OpenAlex

Abstract In consumer research, the relationship between memory work and forgetting remains largely unexplored, and the “forgetful” role that souvenirs can play in remembering is misunderstood, even denigrated. The present study explores the connections between memory work, forgetting, and material culture. Drawing on contemporary material culture studies, it offers a reflection on the memory practices of New Yorkers in the wake of the terrorist attacks on the World Trade Center on September 11, 2001. Based on ethnographic research conducted in New York City, it provides evidence that remembering and forgetting can coexist and interconnect in complex ways. Uncovering the mechanics of forgetting in memory practices with souvenirs, it takes the research on memory and material culture beyond the semiotic analysis of signs and symbols, and shows that souvenirs can play a fundamental role in the process of obliterating and/or compartmentalizing aspects of past experiences. Although it may be true that New Yorkers—especially those who personally experienced 9/11—have no need of souvenirs to remember, many of them have memory practices that involve using souvenirs to forget.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.175
GPT teacher head0.402
Teacher spread0.227 · 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 designQualitative
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
Published2016
Admission routes2
Has abstractyes

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