Perspectives of Veterinary Students with Disabilities, Neurodiversity, and/or Chronic Conditions on a Career in Equine Practice: A Qualitative Study
Bibliographic record
Abstract
Abstract This qualitative phenomenological study explored factors influencing veterinary students with disabilities, neurodiversity, or chronic conditions (VSDNCC) in pursuing equine practice in the UK and Ireland. Equine practice is often seen as exclusive and unsupportive, 1 , 2 contributing to recruitment challenges. 3 , 4 This study examined career influences and the impact of equine placements on their decisions. Semi-structured interviews via Microsoft Teams explored the experiences and perceptions of VSDNCC in equine practice. Participants aged 18–29 years were recruited from UK and Irish veterinary schools through social media and referrals. The sample included six individuals with diverse diagnoses, often multiple. Thematic analysis identified four overarching themes and seven subthemes. Participants’ career decisions were influenced by factors such as work nature, environment, team dynamics, and preparedness, with perceptions varying by diagnosis. For instance, those with mobility issues considered accessibility, while neurodiverse participants focused on environmental control. Many reported ableism during equine extramural studies, negatively impacting their experience and career outlook. None encountered equine vets with similar conditions, highlighting the need for relatable role models to inspire their career aspirations. The equine veterinary industry is often seen as unwelcoming by VSDNCC, with ableism during extramural studies and a lack of relatable role models reinforcing exclusion. Greater openness from equine vets about their diagnoses and adjustments, along with supportive learning environments that encourage skill-building and accommodations, could improve perceptions and inspire VSDNCC to consider careers in equine practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".