An experimental study focusing on mindfulness to capture how our contacts with dogs can promote human well-being
Bibliographic record
Abstract
Pet ownership per se has not been reliably associated with increased human well-being and health. Furthermore, the specific psychological mechanisms and behavioral dynamics through which the presence of pets could yield higher human wellness remain under-investigated. Conducted among dog owners and their dogs, the current experiment investigates if a specific psychological factor - i.e., mindfulness - activated in the presence of one's dog increases dog owners' psychological well-being. The study also explores which affiliative and synchronization behaviors manifested within the human-dog dyad are associated with higher human well-being. A within-participants design was employed among 52 dog owners and their dogs. The mindfulness condition was found to have a positive impact on dog owners' well-being. This condition also generated more affiliative and synchronization behaviors among both owners and their dogs on a majority of behaviors, with some of these behaviors (i.e., frequency the dog initiated contact with their owner; duration the owner communicated with their dog) mediating the associations between the mindfulness induction and the well-being outcomes. These findings confirm the importance of investigating the psychological and behavioral factors which, when activated and manifested within human-dog relationships, promote human wellness as well as interspecies interactivity.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".