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Record W2524857205 · doi:10.17918/etd-6606

Narratives & discourses of Rwandan former refugees & genocide survivors in the USC-Shoah Archive & Western (US, UK, Italy, Canada) newspapers

2015· dissertation· en· W2524857205 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperGenocideRefugeeThe HolocaustNarrativeGender studiesPolitical scienceHistoryMedia studiesSociologyArtArchaeologyLiteratureLaw

Abstract

fetched live from OpenAlex

This dissertation study examines the sensemaking and resilience expressions of Rwandan former refugees' and genocide survivors' (FRGSs') life-stories, as well as the characteristics of Western journalists' and media commentators' retellings and discussion of those life-stories. This topic is of interest to genocide survivor associations; international, national government and non-government institutions and organizations; social workers; and immigration and asylum lawyers, among other stake-holders. The primary research questions are 1) How is sensemaking and resilience expressed in the narratives and discourses of Rwandan former refugees and genocide survivors? 2) What are the differences between the ways Rwandan former refugees and genocide survivors (FRGS) tell their own stories, and the way other commentators tell or talk about their stories in the media? Narrative and discourse analysis methods were used to investigate the answers to those questions over a period of two years. The key findings suggest that Rwandan FRGSs express sensemaking and resilience in three main ways, namely: 1) locating personal experiences within or outside of the generally known/accepted historical narrative of the Rwandan genocide, 2) the provision of thematic narratives of lived personal experiences, and 3) recounting of specific details via time and place, description of past thoughts and states of being, and evaluations or interpretations. On the other hand, Western journalists and mass media commentators retell Rwandan FRGS life-stories by 1) simplifying the cause of the genocide as enmity between Tutsis and Hutus, with inadequate credit given to other responsible factors, 2) frequently covering and emphasizing stories of reconciliation between victims and perpetrators, and the resilience and survival of Rwandan survivors and the society-at-large, and 3) deliberately highlighting and using de-facto (unintended) interpretations of the commonality between the Rwandan and other genocides and mass conflicts.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.031
GPT teacher head0.332
Teacher spread0.301 · 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.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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