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Record W3033762523 · doi:10.1002/cb.1832

Nostalgia prompts sustainable product disposal

2020· article· en· W3033762523 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 Behaviour · 2020
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsMcGill University
FundersChina Scholarship Council
KeywordsProduct (mathematics)Social psychologyPsychologyReuseAestheticsSociologyMarketingBusinessArtEngineering

Abstract

fetched live from OpenAlex

Abstract Consumers' product‐disposal behaviors impact the environment, businesses, society, and consumer well‐being. This research explores if and how consumers' disposal behaviors are influenced by sentiments of nostalgia. Four experimental studies are conducted, two on student samples and two on general population, to test our hypotheses. Study 1 shows that compared with collective nostalgia, personal nostalgia elicits higher intention to keep and reuse products. In contrast, collective nostalgia elicits higher intention to donate and recycle products. Both personal nostalgia and collective nostalgia reduce intention to throw away. Study 2 further corroborates the negative impact of personal nostalgia and collective nostalgia on throw away intention. Study 3 finds that the positive effect of personal nostalgia on keep and reuse intention is mediated by self‐continuity. Finally, study 4 demonstrates that collective efficacy mediates the positive effect of collective nostalgia on donate and recycle intention. This study has theoretical contributions and practical implications for scholars and policy makers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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