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Record W7077857570 · doi:10.58862/xceh1872

An analysis of Equine Stress Levels after Participation in Therapy Sessions

2005· article· en· W7077857570 on OpenAlexaboutno aff

Bibliographic record

VenueHETI Journal International Research and Practice · 2005
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsService providerMental healthPsychological interventionPopulationWork (physics)Service (business)Social work

Abstract

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Equine facilitated psychotherapy and speech-language therapy have become increasingly popular models in recent years. According to the North American Riding for the Handicapped Association, "more than 32,000 individuals benefit from equine facilitated activities at nearly 700 NARHA (accredited) centers throughout the United States and Canada," to say nothing of the hundreds of centers or practitioners who are not members of this organization (NARHA, 2003). Service providers range across the disciplines, often including nursing, psychology, social work, physical therapy, occupational therapy, communication and educational professionals, along with riding instructors, equine trainers and managers, and business staff. On a strictly business level, the number of therapy farms that operate with a budget greater than $300,000 annually has steadily grown in the last decade. While most providers are hardly that large, collectively the sheer size of the population being served makes this industry an important area of focus for administrators and providers alike. Organizations and providers of all disciplines must be ever mindful to protect the resources that make interventions with clients successful, and in the human service domains, the primary resource is the therapy provider. The threat of burn out and secondary traumatization to mental health providers is very real. Correspondingly, there has finally begun to be concern in the mental health and veterinary industries about the strain that this work places on the animals, who are considered to be partners in the treatment of human clients (Kohanov, 2004; Malone, 2004; Rector, 2003). Due to the unusual demands placed on these animals through specialized training, unpredictable client behavior, and what has been termed "sympathetic response" in animals to the emotional states of humans, there is interest in analyzing the biological responses of the animals to various factors in the therapy environment, in order to learn how to minimize the stressors placed on the animals, protect their long-term health, and support their role in the therapy process (Kohanov, 2004; Malone, 2004; O'Rourke, 2004). Serendipity Farm in Tuscaloosa, AL, began to collect data on animals, clients, therapists and farm staff in 2003, in order to begin to look at the variables that impact the success of the programs, and the long-term health and comfort of the animal providers. As access to a veterinarian for complex medical procedures is by consult only at this farm, simple measures that could be reliably and easily taken over a long period of time were taken on the animals. Pulse and respiration were chosen as measures of increased stress, based on knowledge of horse physiology and considering the need for a measure that all farm staff could be trained to accurately record. According to Dr. Beth Macauley, director of Bama Equine Assisted Therapy, and Dr. Marguerite Malone, director of Serendipity Farm, elevated pulse and respiration are automatic stress responses in both humans and animals. Since increased pulse rates are an indicator of increased stress in horses, this measure was used as a dependent variable in a search for the best prediction model. During this collection of data, other researchers in the field of animal assisted therapy began to investigate the connection between animal stress and variables in the environment. Data has begun to emerge to support the assertion that some types of therapy are more stressful on the animals than other types of therapy (McCabe, 2005, in press; O'Rourke, 2004). Asa response to the general call for additional information, and in further investigation of emerging evidence, analysis was undertaken of data collected at Serendipity Farm over one calendar year, to assess the impact of variables in the environment on the overall stress levels of the horses, and to determine if there are points of intervention which may be important for farm staff and administrators to acknowledge for the long-term support of the therapy teams.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.193
GPT teacher head0.511
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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