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Record W7116114626 · doi:10.1080/08927936.2025.2597085

“My Horse Has a Voice; I’m Just Trying to Figure Out What to Do With It”: Communication Between Canadian Dressage Coaches, Riders, and Horses

2025· article· en· W7116114626 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAnthrozoös · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of GuelphUniversity of Prince Edward Island
FundersCanada Foundation for Innovation
KeywordsTheme (computing)Thematic analysisField (mathematics)Horse racingField researchVideo recording

Abstract

fetched live from OpenAlex

Evidence suggests that competitive dressage may compromise horses’ physical and emotional welfare. The coach–rider–horse relationship is paramount to the wellbeing of dressage horses. Therefore, this study sought to explore the relationship between equestrian coaches, riders, and horses during dressage lessons. Specifically, the objectives of this study were to explore (1) the way dressage coaches and riders interpret, respond to, and elicit specific horse behaviors, and (2) the way these interactions influence horse behavior and the learning process between coaches and riders. Using an ethnographic case study design, the first author spent 2–6 weeks with each of the four participating Equestrian Canada certified dressage coaches, conducting interviews with each coach (n = 4) and rider (n = 19), recording field notes and video recording 30 dressage lessons with a Pivo device and a GoPro camera strapped to the rider’s chest. Multimodal interaction analysis was employed to transcribe and analyze rider and horse behavior and coach–rider dialogue during dressage lessons. Reflexive thematic analysis was applied to field notes, interviews, and video transcripts to develop codes and themes to represent the data. Three themes were developed. The first theme portrayed that equestrian coaches believed they listened to horse behavior to guide their application of horse training methods. The second theme highlighted that horses’ behavior may instill emotions (e.g., fear) in riders, which in turn affects their ability to implement instruction from the coach. The last theme underscored the lack of clear, actionable language used during dressage lessons that may hinder communication between coach and rider, contributing to negative affective states for the horse. Overall, the findings suggest a need to evaluate training approaches, emphasizing that equestrians’ emotions may be a barrier to understanding coach instructions and implementing training methods that promote horse welfare.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.073
GPT teacher head0.346
Teacher spread0.272 · 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