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Record W2110398109 · doi:10.12968/ijtr.2005.12.4.18262

Horsemastership part 3: International perspectives of its therapeutic value

2005· article· en· W2110398109 on OpenAlexaff
Rhona Lee Young, Maggie Bracher

Bibliographic record

VenueInternational Journal of Therapy and Rehabilitation · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPasture and Agricultural Systems
Canadian institutionsSelkirk College
Fundersnot available
KeywordsRelevance (law)Value (mathematics)Medical educationPsychologyQualitative researchSociologyEngineering ethicsMedicineSocial sciencePolitical scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

In previous opinion articles written by the authors, it has been proposed that horsemastership is an effective medium for therapy and education for young adults with additional needs. However, the existing research to support this proposal is informal and limited. Therefore, the first author carried out an international piece of research into the value of horsemastership to this group of people. A questionnaire using both quantitative and qualitative methods was completed by 21 professionals of various disciplines and countries who used horsemastership for therapeutic and educational purposes. This article gives a brief description of the methodology, including justification for the design selected, and discusses the relevance and implications of the results of this study. To pull together the three articles written by the authors, a final conclusion on the value of horsemastership to people with additional needs is drawn.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.014
Scholarly communication0.0090.007
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.023
GPT teacher head0.262
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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