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Record W4292608136 · doi:10.1097/jom.0000000000002681

A Qualitative Longitudinal Study of Workplace Issues, Authorities and Media, and Relationships Recounted by Oklahoma City Bombing Survivors After Nearly a Quarter Century

2022· article· en· W4292608136 on OpenAlexaboutno aff
Carol S. North, Alina Surís, Katy McDonald, David E. Pollio

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2022
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsQuarter (Canadian coin)HistoryPolitical scienceDemographySociologyArchaeology

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of the study is to examine the long-term course of disaster-related experience among survivors of a terrorist bombing and the long-term recollection of initial workplace effects across nearly a quarter century. METHODS: From an initial randomly selected sample of highly trauma-exposed survivors of the 1995 Oklahoma City bombing, 103 participated in qualitative open-ended interviews about their bombing experience approximately 23 years after disaster. RESULTS: The survivors described their bombing experience clearly with extensive detail and expression of persistent strong emotion. Their discussions reflected findings from earlier assessments and also continued over the course of the next decades to complete their stories of the course of their occupational and interpersonal postdisaster journeys. CONCLUSIONS: Long-term psychosocial ramifications in these survivors' lives continue to warrant psychosocial interventions, such as occupational and interpersonal counseling.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.121
GPT teacher head0.406
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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