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Record W2521914871 · doi:10.1108/jacpr-12-2015-0204

A typology of theoretical approaches to the study of Rwandan Tutsi genocide

2016· article· en· W2521914871 on OpenAlexaff
Oscar Gasana

Bibliographic record

VenueJournal of Aggression Conflict and Peace Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsGenocideTypologySociologyPerspective (graphical)EpistemologyPhenomenonAssertionAnthropologyPolitical scienceComputer scienceLawArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to provide a typological framework of approaches to the study of the Rwandan Tutsi genocide, in a comparative perspective. Based on the assertion that no single theoretical approach can account for so complex and totalizing a phenomenon, the paper targets different aspects of causality, drawing from three key publications by contemporary genocide scholars: Vern N. Redekop, Christopher Taylor and Mahmood Mamdani. It argues for their significant complementary contribution to a better understanding of the last genocide of the twentieth century. By offering different analytical angles, as demonstrated from each perspective, the paper enriches the conceptualisation of genocides in general, and the Rwandan Tutsi genocide in particular. Design/methodology/approach This paper focuses on the Rwandan Tutsi genocide. Drawing from three key contemporary authors, it identifies and analyses three theoretical approaches in a comparative perspective, namely, the human identity needs approach (Redekop, 2002), the politico-anthropological approach (Taylor, 2000) and the colonialist approach (Mamdani, 2002) which, if unified, would go a long way in providing a clearer picture and a better understanding of Rwandan Tutsi genocide. Of course this does not mean that the three approaches account for every aspect of the phenomenon under study. It is a work in progress, reflecting the complex nature of genocide and the concomitant need to approach its analysis from different angles and perspectives. The selected authors address different key areas of scientific enquiry from different perspectives that complement each other, leading to a better understanding of the reality under investigation. Findings The authors learn from these approaches the constructed nature of ethnicity, what Benedict Anderson (1983, p. 211) calls the “imagined communities”. The Rwandese community was imagined by the colonial power, codifying the distinctions on the basis of such ridiculous criteria as cattle ownership and physical measurements, and issuing identity cards accordingly. In the final analysis, the choice of the most appropriate approaches to the study of genocide is a function of multiple factors: cultural, historical, political, anthropological, psychological, ethnographical, each genocide case being contextually different. The combination of the three approaches above seems to go a long way in confronting the complexity of the Rwandan Tutsi genocide. Research limitations/implications As the authors have already mentioned, the theoretical approaches are not exhaustive. Yet, they have significant implications in terms of research processes. Practical implications Practically, these approaches lead to a deeper and broader understanding of genocide causality. Social implications By tackling research issues from multiple angles, the product captures more elements that enable the shift from the structures of violence towards the structures of blessing. Originality/value It is the first time that such a research tool is made available to researchers wishing to deepen the understanding of the Rwandan Tutsi genocide.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.291
GPT teacher head0.422
Teacher spread0.131 · 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 designNot applicable
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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