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Record W2015594391 · doi:10.1177/1077800406297678

Emergent Issues When Researching Trauma

2007· article· en· W2015594391 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

VenueQualitative Inquiry · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsConcordia University
Fundersnot available
KeywordsReflexivityAutoethnographyRedressNarrativeCompassionPsychologyReciprocity (cultural anthropology)Power (physics)Narrative inquirySociologySocial psychologyPsychoanalysisGender studiesSocial science

Abstract

fetched live from OpenAlex

This article examines the impact of conducting narrative research focusing on trauma and healing. It is told through three voices: the study participants who experienced the trauma, the researcher who shared her personal experiences conducting this research, and an academic colleague who acted as a reflective echo making sense of and normalizing the researcher's experience. Issues explored in the article include: harmonic resonance between the story of the participant and the life experiences of the researcher, emotional reflexivity, complex researcher roles and identities, acts of reciprocity that redress the balance of power in the research relationship, the need for compassion for the participants, and self-care for the researcher when researching trauma. The authors conclude that when researching trauma, the researcher is a member of a scholarly community and a human community, and that maintaining the stance as a member of the human community is an essential element of conducting trauma research.

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)0.093
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0930.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.617
GPT teacher head0.690
Teacher spread0.073 · 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