Keeping loneliness on a short leash: Reducing university student stress and loneliness through a canine-assisted intervention
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Despite often crowded campuses and the corresponding opportunities to meet new people, undergraduate students often experience high rates of loneliness as they adjust to life away from home and establish new social networks while adapting to the demands of university coursework. One low-cost intervention that has proven beneficial in reducing stress and overall well-being has seen therapy dog-handler teams brought to campus affording students an opportunity to interact with dogs. This study assessed the effects of spending time with dogs and their handlers on students’ self-reports of stress and loneliness using one-item visual analogue scales. Participants ( N = 1006; 63% women, 40% first-year) interacted 32 minutes on average with the dog-handler teams and reported significant pre-to-post session reductions in stress and loneliness. Greater stress was associated with significantly greater loneliness at both pre- and post-interaction. Compared to domestic students, international students experienced slightly greater reductions in stress and moderately greater reductions in loneliness. Findings from our study suggest that creating opportunities for university students to interact with certified therapy dog-handler teams can be effective in reducing both stress and loneliness – the latter an understudied outcome variable in the field of canine-assisted interactions. The methodology of this study that saw participants determine the length of their visit combined with the findings attesting to therapy dogs reducing student loneliness can inform the broader contexts of human-animal interactions and the delivery of interventions in support of post-secondary student mental health.
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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 it