Psychological distance in consumer psychology: Consequences and antecedents
Bibliographic record
Abstract
Abstract Wherever consumers envision faraway locations, remember the past, predict the future, consider the perspective of others, or entertain remote possibilities, their minds extrapolate beyond what lies in front of them to something psychologically distant. Conjuring and considering that which is psychologically distant thus lies at the heart of how most people spend a substantial portion of their lives. As integrated here, seeing something as psychologically distant causes people to think about and act on it in systematically different ways than the same thing seen as psychologically close. Recent advances in these consequences suggest that the effects of psychological distance on consumer decision‐making continue to grow increasingly nuanced. Consumer outcomes thus at times benefit from seeing things as near and, at other times, benefit from seeing things as far. Accordingly, this review thereafter summarizes the antecedents that lead people to see things as psychologically distant or psychologically close. It closes in considering how future considerations might expand the conceptualization and application of psychological distance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
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; both teacher heads agree on what is shown here.
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".