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Record W2145903803 · doi:10.1037/0002-9432.72.4.505

Exposure to human tragedy, empathy, and trauma in ambulance paramedics.

2002· article· en· W2145903803 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

VenueAmerican Journal of Orthopsychiatry · 2002
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsCentre for Social InnovationYork UniversityUniversity of Toronto
Fundersnot available
KeywordsEmpathyDistressPsychologyCognitionCoping (psychology)Interpersonal communicationPersonal distressClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Paramedics are exposed to events involving human pain and suffering on a daily basis, many of which are the result of violence perpetrated by 1 individual on another. For the most part, these emergency workers have learned to deal with such events and take them in stride. At times, however, certain circumstances lead workers to develop an emotional connection with the victim or his or her family. When this occurs, paramedics report increased symptoms of traumatic stress. Aspects that can trigger this connection include the victim's alienation from others, profound loss, or the abuse of an innocent child. One of the coping strategies described in these circumstances is to manage the events on a cognitive and technical level while maintaining an emotional distance. Although such a strategy may be protective, it may also have long-term negative effects in terms of interpersonal relationships. This mixed-methods study attempts to better understand factors that lead to higher levels of distress among paramedics within the theoretical framework of emotional and cognitive empathy.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.347
Teacher spread0.312 · 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