How dogs influence the evaluation of psychotherapists
Bibliographic record
Abstract
Research has shown that the presence of a companion animal reduces anxiety, encourages interaction among humans and enhances the way in which people are perceived. These are all effects which would be useful in a psychotherapeutic setting. On this basis the current study investigated the effect of the presence of a dog on the way in which people perceive psychotherapists. The study utilized an experimental design in which participants viewed a videotape of one of two therapists who were either with or without a dog. It was hypothesized that people would respond more positively to the psychotherapists when accompanied by a dog; specifically, that they would be more generally satisfied and would be more willing to disclose personal information, and that these effects would be influenced by attitudes towards pets. The first two hypotheses were confirmed. The effect was most pronounced among those who were the least positive toward the psychotherapist, demonstrating a ceiling effect. Contrary to the last hypothesis, attitudes toward pets had no influence on the perceptions of psychotherapists. History of pet ownership had only minimal impact on the results. Practical applications and directions for further research are discussed.
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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 | 0.002 | 0.014 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".