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Record W4414114936 · doi:10.1177/14648849251379831

Navigating trauma: Analysing the lived experiences of journalists who suffered violence in the line of duty

2025· article· en· W4414114936 on OpenAlexaff
Theodora Dame Adjin-Tettey, Mary Selikem Ayim- Segbefia

Bibliographic record

VenueJournalism · 2025
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWestern University
Fundersnot available
KeywordsCoping (psychology)Lived experiencePhenomenology (philosophy)DutyThrough-the-lens meteringInterpretative phenomenological analysisFellQualitative research

Abstract

fetched live from OpenAlex

Through the lens of the Coping Circumplex Model (CCM) and the phenomenological research approach, this study explores how Ghanaian journalists deal with trauma experienced in the line of duty. Participants reported experiencing a variety of traumas, including psychological, emotional, and physical. The data also revealed that the coping techniques adopted by participants fell within both the problem-coping and the emotion-coping dimensions. Some employed avoidance as an emotion-coping strategy and got triggered when they saw culprits, pointing to emotion-coping’s ineffectiveness in healing trauma. The trauma journalists experience also sometimes extends to the victims’ relations, calling for an exploration of coping strategies for victims of the cascading effects of trauma experienced by others in future studies.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.038
GPT teacher head0.400
Teacher spread0.361 · 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 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

Citations2
Published2025
Admission routes1
Has abstractyes

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