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Record W2784844137

The Examination of Different Pathways Leading Towards Police Traumatization: Exploring the Role of Moral Injury and Personality in Police Compassion Fatigue

2017· article· en· W2784844137 on OpenAlexaboutno aff
Konstantinos Papazoglou

Bibliographic record

VenueTSpace (University of Toronto) · 2017
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsCompassion fatiguePsychologyMoral injuryCompassionPersonalityEmpathyPsychopathySocial psychologyBurnoutClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

Abstract\nPolice officers are mandated to respond to critical incidents, and, as the first responders to arrive at a crime scene, they are often tasked with providing support to traumatized victims of crimes. Compassion fatigue is a type of traumatization (“cost of caring”) experienced by caregiving professionals who work with traumatized populations (Figley, 1995). Conversely, compassion satisfaction refers to the sense of fulfillment that first responders feel from helping those who suffer (Stamm, 2002). The current research project is comprised of three studies. In study 1, researchers recruited a national police sample (n=1,351) from the US and Canada and measured the prevalence rates of compassion fatigue and satisfaction. This study found that authoritarianism was significantly associated with compassion fatigue among study participants. In study 2, the researcher further explored the role of negative personality traits (i.e., dark triad—Machiavellianism, narcissism, psychopathy) in a national sample (n=1,173) of police officers serving with the National Police of Finland. Study 2’s findings were consistent with those of Study 1, showing that negative personality traits were significantly associated with compassion fatigue among police officers. Study 3 built on the main findings of the first two studies, and aimed to identify the different pathways that lead to traumatization by examining moral injury’s role in the process. Moral injury refers to unprecedented traumatic life events, which can be understood as events wherein one perpetrates, fails to prevent, or bears witness to actions that “transgress deeply held moral beliefs and expectations” (Litz et al., 2009, p.1). Employing moral injury would enable researchers to examine the different mechanisms that lead to traumatization. To this end, study 3 recruited a sample (n=453) comprised of officers from the National Police of Finland, and the results showed that the dark triad of personality traits significantly predicted “self-focused” and “others-focused” moral injury. In addition, “self-focused” moral injury (and not “others-focused” moral injury) significantly predicted compassion fatigue and PTSD symptoms. Furthermore, it was found that “self-focused” moral injury significantly mediated the pathway between the dark triad personality traits and traumatization (compassion fatigue and PTSD symptoms). Clinical implications and recommendations for future research are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.909

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)0.0000.000

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 head0.157
GPT teacher head0.360
Teacher spread0.203 · 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.

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

Citations12
Published2017
Admission routes1
Has abstractyes

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