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Record W2416367248 · doi:10.1097/jfn.0000000000000074

Taking a PAWS to Reflect on How the Work of a Therapy Dog Supports a Trauma-Informed Approach to Prisoner Health

2015· article· en· W2416367248 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

VenueJournal of Forensic Nursing · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsBritish Columbia Centre of Excellence for Women's HealthUniversity of Saskatchewan
FundersCanadian Institutes of Health ResearchSubstance Abuse and Mental Health Services AdministrationCanadian Medical Association
KeywordsMental healthMedicineAddictionSubstance abusePopulationEmpowermentPsychologyPublic healthPsychiatryNursing

Abstract

fetched live from OpenAlex

Canada's Correctional Investigator has found that mental health disorders, alone or in combination with alcohol and drug abuse, challenge public health and safety. Trauma is a key contributor among Canada's inmate population. Therapy dogs can assist in supporting individuals with mental health, addiction, and trauma concerns. This case report presents the work of a St. John Ambulance therapy dog in a trauma-informed approach to prisoner health. The Substance Abuse and Mental Health Services Administration articulates six evidence-based trauma principles for service providers; safety; trustworthiness and transparency; peer support; collaboration and mutuality; empowerment, voice, and choice; and cultural, historical, and gender issues. These principles are used as a lens to examine what the therapy dog appears to offer instinctively and effortlessly in its interactions with prisoners. Illustrative examples are provided.Video Abstract available for additional insights from the authors (see Supplemental Digital Content 1, http://links.lww.com/JFN/A16).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.353

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 head0.096
GPT teacher head0.415
Teacher spread0.319 · 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