MétaCan
Menu
Back to cohort
Record W7053090102

Therapeutic Riding and You : an evaluation of how a local therapeutic riding program affects the lives of riders / by Amy K.S. Wonnell.

2017· other· en· W7053090102 on OpenAlexaff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsLakehead University
Fundersnot available
KeywordsFocus groupConsistency (knowledge bases)Program evaluationParticipant observationData collection
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the study was to determine how the Thunder Bay Therapeutic Riding
\nAssociation impacts the lives of the riders; to determine what aspects of the program are
\nmost important to the riders; and to provide the participants a chance to give feedback
\nabout the program. There were 129 questionnaires sent out to riders, parents/caregivers
\nand volunteers who had participated in the therapeutic riding program the previous year.
\nQuestionnaires were completed and returned by 12 riders, 15 parents/caregivers, and 22
\nvolunteers. The questionnaires were made up of close-ended and open-ended questions.
\nA focus group was also conducted to supplement the findings of the questionnaires.
\nThere was one rider, one parent, and one volunteer participant in the focus group. The
\nstudy investigated four domains of life: physical well-being; social well-being;
\ndevelopment and activity; and emotional well-being. The results indicated that the
\ntherapeutic riding program has a positive effect on all of these four domains. The
\ngreatest effects of the program appear to be in the areas of emotional and social well-being.
\nThis was seen in that the program provides a positive and uplifting experience;
\nprovides social benefits to riders; and supplies a sense of accomplishment, independence
\nand empowerment. The two most important aspects of the program are the horses and
\nthe volunteers. The program could be improved by having more consistency with the
\nvolunteers and equipment; by having individual goals and a progression of skills for each
\nrider; and by giving more instruction and information to the volunteers. Overall, the
\nprogram is commended by many of the individuals involved and has been both enjoyable
\nand beneficial. Limitations to the study include that it involved a small number of
\nparticipants, that it involved a small number of rider participants, and that only people
\ninvolved in the program during the previous riding season were invited to participate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.293
Teacher spread0.250 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueKnowledge Commons (Lakehead University)Same topicMass Spectrometry Techniques and ApplicationsFrench-language works237,207