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Record W6989414944

Back from away: an alternative treatment centre for military personnel affected by post traumatic stress disorder

2018· dissertation· en· W6989414944 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2018
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsPracticumMental healthTraumatic stressStigma (botany)Military personnelQuality (philosophy)Quality of life (healthcare)Mental illnessMental healthcareSocial stigma
DOInot available

Abstract

fetched live from OpenAlex

This practicum project examines the relationship between military cultural identity and stigma in its association with mental health within the military in regard to Post Traumatic Stress Disorder (PTSD). Utilizing social theory and psychological research, it proposes the redesign of the North Pavilion building on the Deer Lodge campus in Winnipeg. This project analyzes the potential of alternative healing environments centered around wellness to successfully challenge stigmas that deter those with PTSD from seeking treatment and promote reintegration. This process has resulted in an exploration of how interior design can reimagine mental healthcare environments in a more socially aware manner that addresses issues imbedded within military culture deterring individuals from seeking care. The underlying outcome is an interdisciplinary investigation that challenges stigma, promotes reintegration and aids in improving quality of life for individuals seeking treatment for PTSD and who may be undergoing a challenging transition from military to civilian life.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.002
Scholarly communication0.0010.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0250.003

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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2018
Admission routes1
Has abstractyes

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