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Record W3199681780 · doi:10.1080/15401383.2021.1984353

Mind Full or Mindful? A Cohort Study of Equine-Facilitated Therapy for Women Veterans

2021· article· en· W3199681780 on OpenAlexaboutno aff
Aviva Vincent, Isabel Ballard, Kathleen J. Farkas

Bibliographic record

VenueJournal of Creativity in Mental Health · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessIntervention (counseling)PsychologyClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

This study aimed to explore the assets and challenges of partnering with equines for female Veterans seeking to increase aspects of mindfulness that can be applied daily. Three measures (Toronto Mindfulness Scale, Mindfulness Survey, and Program Evaluation) were administered to participants to assess self-identified mindfulness pre- and post-equine intervention. The Mindfulness Survey responses pre-intervention ranged from 2.3 to 6.5 with a response range of 0 to 10 (M = 4.59, SD = 1.29). The post-intervention Survey responses ranged from 6.7 to 9.2 (M = 8.2, SD = 0.69). A paired sample t-test found a significant difference in the scores from pre-intervention to post-intervention conditions (t= −9.43, df = 13, p< .001). The evaluation responses included positive feedback specific to the activities of grooming and Breathe With. A participant noted, “The horses have taught me a lot about myself”; a common theme across respondents. The Veterans demonstrated a significant increase in self-identified Mindfulness throughout the duration of the equine intervention.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.047
GPT teacher head0.429
Teacher spread0.382 · 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 designBench or experimental
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

Citations4
Published2021
Admission routes1
Has abstractyes

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