Say no more! The liability of strong ties on desire for special experiences
Bibliographic record
Abstract
Abstract Interpersonal connections are often involved in the planning, consuming, and reminiscing of special consumption experiences. Yet we have limited understanding of how consumers in different stages (planning versus reminiscing) influence one another and how this might vary as a function of relationship strength. From two experiments, our findings suggest that when planning a novel special experience, consumers should be cautious of others' reminiscences and, specifically, of memories shared by strong ties. In study 1, we found that a memory shared by a strong tie increases a consumer's desire to switch a novel experience. In study 2, we unpacked this effect by examining the role of savoring and internalization of memory details. When a memory was shared by a stronger (versus weaker) tie, the expected utility of savoring was reduced, and the desire to switch to a new experience increased. Post analyses suggest that this may be due to differences in the extent to which the memory is assimilated as one's own experience.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".