Place Attachment in Commercial Settings: A Gift Economy Perspective
Bibliographic record
Abstract
Place attachment is one’s strong emotional bond with a specific location. While there are numerous studies on the topic, the literature pays little attention to com-mercial settings. This is because they are seen as too insipid to rouse attachment. Consumer research, however, suggests otherwise. To address this disparity, the authors investigate how people develop, experience, and act on place attachment in commercial settings. Findings from consumer in-depth interviews and self-re-ports conducted in France reveal that place attachment develops through percep-tions of familiarity, authenticity, and security and evolves into experiences of hom-eyness. Consumers find these encounters of homeyness extraordinary and respond by engaging in volunteering, over-reciprocation, and ambassadorship to-ward the place. The authors further theorize these findings through a gift economy perspective and identify a tripartite exchange between the consumer, the proprietor of the place, and selected people from the consumer’s social network. This place is at the same time a small restaurant, a grocery, and a café. It symbolizes the life of the village... I would be sorry if this place was going to close... This place is a kind of extension of our house, with the benefits of a restaurant. In a sense, the owner takes care of us. It is special. It is really the house next door. It is also the place where we had lunch the first Christmas following my father’s death. So, it is quite special for me... There has been an accumulation of events that have linked our family to this village and to this restaurant...
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".