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Record W180917132

Does the part-time victim services volunteer suffer from the effects of vicarious traumatic stress?

2010· dissertation· en· W180917132 on OpenAlexaboutno aff

Bibliographic record

VenueUPT. Syiah Kuala University Library (Syiah Kuala University) · 2010
Typedissertation
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsCompassion fatigueStressorDebriefingPsychologyTraumatic stressClinical psychologyBurnoutVolunteerChecklistMedicineSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

This unique research into whether part-time victim services volunteers suffer from the effects of vicarious traumatic stress is the first of its kind because all of the participants were volunteers and members of victim services units in Southern Ontario, Canada. The aim was to determine whether volunteers suffered from personal trauma in their role as victim services volunteers with the objective of enhancing future volunteer training programmes. Two surveys were used to determine the existence of stressors in the lives of these volunteers, the Professional Quality of Life survey (ProQOL) and the Civilian version of the Post Traumatic Stress Disorder Checklist (PCL-C). The ProQOL was used as a written survey and the PCL-C was used as a foundation for interview questions in order to gain insight into the issues surrounding the effect of stressors. Results indicate that Victim Services volunteers suffer from the effects of dealing with victim’s traumatic events in varying degrees. Some suffer from burnout and secondary stress. While most appear to receive satisfaction from the role as a victim services volunteer, many would benefit from enhanced debriefing processes and enhanced training about how vicarious traumatic stress is recognized and successfully managed.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0060.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.006
GPT teacher head0.217
Teacher spread0.212 · 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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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