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Record W2067504026 · doi:10.1080/15325020500358225

Development of the Coping Strategies Inventory for Trauma Counselors

2005· article· en· W2067504026 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.

Bibliographic record

VenueJournal of Loss and Trauma · 2005
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of TorontoOntario Medical Association
Fundersnot available
KeywordsCoping (psychology)PsychologyClinical psychologyApplied psychology

Abstract

fetched live from OpenAlex

ABSTRACT There is increasing awareness about the negative consequences of counseling traumatized people. Emanating from qualitative research and clinical reflections, suggestions are frequently made regarding self-care strategies to reduce the impact. However, no tools exist for measuring these strategies to determine the effectiveness of engaging in self-care behaviors. This study evaluates the Coping Strategies Inventory which measures beliefs and behaviors regarding coping in trauma counselors. Items were derived from the practice literature and a focus group with experienced therapists. A factor analysis was conducted with a sample of 259 trauma therapists and 71 hospital workers. Results demonstrated a consistent factor structure with adequate internal reliability. The CSI may thus be useful in research on vicarious trauma and for self-appraisal of counselors.

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 score0.940
Threshold uncertainty score0.209

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 head0.057
GPT teacher head0.346
Teacher spread0.289 · 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