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Record W3177201183 · doi:10.21061/jvs.v7i1.227

The Politics of Treatment: A Qualitative Study of Canadian Military PTSD Clinicians

2021· article· en· W3177201183 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Veterans Studies · 2021
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsBureaucracyPsychological interventionNegotiationQualitative researchPoliticsPsychologyMedicinePsychiatryPsychotherapistClinical psychologyPolitical scienceSociologySocial science

Abstract

fetched live from OpenAlex

There has been an upsurge in post-traumatic stress disorder (PTSD) research, but these efforts have not included trauma clinicians. Using a constructivist grounded research methodology, we examined clinicians’ views about military PTSD, their experiences in utilizing accepted interventions, and the personal impacts of this work. Our findings indicate that clinicians struggle with conceptualizations of PTSD, accepted treatments, and the requirements of navigating the Veterans Affairs Canada (VAC) bureaucracy. Demands to negotiate occupational realities while attempting care for clients underpinned experiences of emotional exhaustion. Contrasting the literature on secondary trauma, bureaucratic forces, implied expert status, and lack of supports for clinicians were at the root of exhaustion. Military trauma clinicians appear caught in the politics of treatment with detrimental effects on their health. This study is the first to explore clinician views on the benefits and costs of working with military trauma survivors.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.355
GPT teacher head0.543
Teacher spread0.188 · 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