How can I thank you? Highlighting the benefactor’s responsiveness or costs when expressing gratitude
Bibliographic record
Abstract
Despite growing evidence that showing gratitude plays a powerful role in building social connections, little is known about how to best express gratitude to maximize its relational benefits. In this research, we examined how two key ways of expressing gratitude—conveying that the benefactor’s kind action met one’s needs (responsiveness-highlighting) and acknowledging how costly the action was (cost-highlighting)—impact benefactors’ reactions to the gratitude and feelings about their relationship. Using observer ratings of gratitude expressions during couples’ live interactions ( N = 111 couples), and benefactors’ self-reports across a 14-day experience sampling study ( N = 463 daily reports), we found that responsiveness-highlighting was associated with benefactors’ positive feelings about the gratitude expression and the relationship. In contrast, cost-highlighting had no such effect. These findings suggest that expressing gratitude in a way that highlights how responsive benefactors were may be critical to reaping the relational benefits of gratitude and have practical implications for improving couples’ well-being.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".