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Record W3132972679 · doi:10.1080/87568225.2021.1881860

Puppies, Plants, Painting, and Popcorn: Evaluation of an Integrated Outreach Program

2021· article· en· W3132972679 on OpenAlexaff
Lisa K. Moores, Pam Button, Emily Fawcett, Beth Whelan

Bibliographic record

VenueJournal of College Student Psychotherapy · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsOutreachAttendanceAnxietyMental healthPsychological interventionPsychologyStigma (botany)Medical educationClinical psychologyApplied psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

As significant numbers of university students report high levels of stress, post-secondary institutions are seeking accessible mental health and wellness supports. The outreach program presented integrates therapy dogs, therapeutic horticulture, and art making interventions. Over 170 participants completed questionnaires surveying demographic variables, frequency of attendance and engagement, and self-reported reductions in stress and anxiety. Open-ended questions explored students’ program experience, their explanations for stress reductions, and recommendations for the program. The vast majority of participants reported a considerable decrease in stress and indicated that the program helped them destress, feel calmer and more relaxed, reduced their anxiety, and helped them feel more in control of their emotions. Participant recommendations included investing in expansion, further development and adequate resourcing of the program. Findings highlight the potential of integrated wellness initiatives to support large and diverse groups of students while decreasing support stigma and contributing to healthy campus goals.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.027
GPT teacher head0.354
Teacher spread0.327 · 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.

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

Citations8
Published2021
Admission routes1
Has abstractyes

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