Effect of Tranquil and Active Video Representations of an Unfamiliar Dog on Subjective Mental States
Bibliographic record
Abstract
Abstract The aim of this pilot study was to examine the effects of different videos of an unfamiliar dog (tranquil and active) on subjective mental state measures. All participants watched two videos of an unfamiliar dog (tranquil and active). Subjective measures of stress, anxiety, alertness, attention, likeability, and cuteness were assessed. The results showed that the tranquil dog video significantly decreased anxiety only. Additionally, the active dog video significantly decreased stress and anxiety. Across the videos, the results showed the active dog video significantly improved subjective alertness and attention when compared with the tranquil dog video. Lastly, the active dog video was rated more likeable and cuter relative to the tranquil dog video. The practical implications of these findings could include how to improve various subjective mental states for humans in public settings (e.g., hospital) where nonhuman animals are not always allowed.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.007 | 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".