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Record W4413355324 · doi:10.58862/emwb2273

Goals and Performance of Children with Cerebral Palsy Participating in Therapeutic Horseback Riding (THR)

2002· article· en· W4413355324 on OpenAlexaboutno aff

Bibliographic record

VenueHETI Journal International Research and Practice · 2002
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsHorseback ridingCerebral palsyPhysical medicine and rehabilitationPhysical therapyMedicinePsychology

Abstract

fetched live from OpenAlex

An exploratory descriptive study was conducted to determine whether children with cerebral palsy who participate in therapeutic horseback riding (THR) programs set different riding goals for themselves than their parents set for them. The children's and their parents' perceptions of riding competence were also examined. The literature suggests that there may be a difference in goals identified by children and their parents but that there may not be a difference in their perceptions of riding competence. The leisure section of the Canadian Occupational Performance Measure was used to identify horseback riding goals for both the children and parents. The children and parents rated perceived current levels of performance on the identified goals as well as their current level of satisfaction with performance. In addition, both dyads rated the importance of the THR activity. Sample size consisted of four children and four parents. The children specified different goals from their parents. The children identified goals that were associated with learning the skills of horseback riding while the majority of parents identified goals related to physical rehabilitation. Comparison of performance, satisfaction and importance scores was not possible as the children and parents did not identify similar goals. Further research in the area of parent and child goals may promote structuring of therapeutic horseback riding programs to better meet both child and parent needs.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.136
GPT teacher head0.410
Teacher spread0.274 · 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
Published2002
Admission routes1
Has abstractyes

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