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Record W4304782695 · doi:10.1079/hai.2022.0009

“My Lifeline is Gone”: An Exploration of the Experiences of Veterans Following the Loss of their Psychiatric Service Dog(s)

2022· article· en· W4304782695 on OpenAlexaffabout
Maryellen Gibson, Darlene Chalmers, Siyu Ru

Bibliographic record

VenueHuman-animal interaction bulletin · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsUniversity of ReginaUniversity of Saskatchewan
Fundersnot available
KeywordsGriefCoping (psychology)Exploratory researchPsychologyService memberPsychiatryLife spanQualitative researchTraumatic griefService (business)MedicineNursingGerontologyMilitary personnel

Abstract

fetched live from OpenAlex

Abstract Canadian veterans with PTSD are increasingly accessing psychiatric service dogs as a complementary treatment for their symptoms. Due to the short life span of dogs, however, it is inevitable that these veterans will experience the loss of their PSD either through death, retirement, or relinquishment. This exploratory qualitative study shares the findings from interviews with four veterans who had experienced grief at the loss of a PSD. The themes that emerged suggest that participants experienced a grief cycle: building of a bond with their PSD, a grief response after the loss of their PSD, healing and coping, and a transitional stage when introducing a new PSD into their lives. Recommendations are made for health care professionals working with veterans with psychiatric service dogs and for service dog providers and organizations to better prepare and support their clients leading up to and after the loss of their service dog.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.048
GPT teacher head0.362
Teacher spread0.314 · 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 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
Published2022
Admission routes2
Has abstractyes

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