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Record W3158094974 · doi:10.5206/eei.v31i1.13923

Service Animals and Pet Therapy in Schools: Synthesizing a Review of the Literature

2021· review· en· W3158094974 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueExceptionality Education International · 2021
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAnimal welfarePsychologyInclusion (mineral)Context (archaeology)Social emotional learningMedical educationIntervention (counseling)Animal-assisted therapyCognitionApplied psychologyPedagogyPet therapyDevelopmental psychologyMedicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

As the academic and social-emotional needs of students in schools continue to increase, so too does the presence of dogs in educational spaces. This article aims to present an overview of past and present animal-assisted intervention practices in school settings. This comprehensive literature review examines the current state of research within this field of study. Data from 29 publications were selected according to strict inclusion and exclusion criteria. The results highlight three categories in which the presence of dogs in schools have an impact: social-emotional, cognitive, and physiological. Challenges to program implementation include health risks, cultural context, and negative effects on the animal. Due to the lack of school-based research, more study is needed, especially in order to understand the effect of dogs on the social-emotional learning of students. Finally, the welfare and training of the animals involved should be taken into consideration, and regulations regarding handler and animal training should be enforced.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.814
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.049
GPT teacher head0.441
Teacher spread0.392 · 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