Importance of "One Health" conception and animal welfare in dog therapy
Bibliographic record
Abstract
Our emotions are particularly important to dogs because they not only feel and express emotions, but also read people’s emotional expressions. Dogs can respond functionally to emotional expressions and can use emotional information from other people to solve problems, i.e. getting information from faces and body postures allows them to make decisions [1]. This suggests that the behaviour of dogs reflects the behaviour, attitudes and emotional state of the people around them. This must be taken into account when working with therapy dogs. Recently, there has been a move to assess the impact of human-animal interaction on therapy dogs involved in human health care as widely as possible. The aim is to include the welfare of therapy dogs in the “One Health” framework. “The importance of animal welfare is increasingly acknowledged, indicating that the Ottawa Charter should be extended to include the welfare of non-human animals supporting the promotion of human health” [2]. The principle of “One Health” welfare recognises the benefits of the humananimal relationship and the promotion of health, while emphasising the importance of understanding animal welfare and the potential effects of physical and mental harm on therapy animals. Protection of animal welfare is based on five principles: nutrition, physical environment, health, behavioural interactions and mental state. Practitioners working with therapy dogs must be guided by ethical challenges, as the involvement of dogs in therapy can be fraught with tensions when people use the animal to achieve their own goals, and the dog has no such goals [2]. The main danger is the possible use of the dog as a therapeutic tool to provide emotional or therapeutic support, rejecting the animal as an individual with its own needs. The dog’s welfare may be neglected; signs that the dog is showing signs of stress or is overtired may be ignored. Exhaustion, illness, intimidating environments, limited access to water, high temperatures and other stressors can not only adversely affect a dog’s mental and physical health but can also lead to negative experiences that can have a profound effect on a dog’s suitability for therapeutic activities. It has been observed that dogs were sensitive to the stress of the owner; a sensitivity reflected the well-being of the owner, which had a significant impact on the behaviour of the dog [3]. In the field of therapy dogs, there is a lack of guidelines and protocols for the ethical relationship between animals and humans, which define the welfare of the animal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".