The Hidden Costs of Gratitude: Gratitude Amplification Is Costly for Personal and Relationship Well-Being
Bibliographic record
Abstract
Expressing gratitude often strengthens relationships, yet many people say “thank you” despite not feeling especially grateful. Although this may seem innocuous, are there hidden costs? We tested the effects of expressed, perceived, and accurate perceptions of gratitude amplification on romantic couples’ personal and relational well-being across four dyadic studies ( N couples = 639), including lab conversations (Studies 1a and 2a), naturalistically in daily life (Studies 1b and 2b), and over time (Studies 3 and 4). Findings indicated that higher expressed and perceived gratitude amplification did yield personal and interpersonal costs, which were mediated by lower authenticity and responsiveness. Effects could not be accounted for by alternative explanations, including expressers feeling lower relationship satisfaction or less grateful for their partner. Altogether, we identify a hidden cost of gratitude expressions, indicating that amplified gratitude can undermine couples’ well-being by compromising authenticity and responsiveness.
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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 | 0.005 | 0.024 |
| 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 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".