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Record W2618858016 · doi:10.1080/00083968.2017.1306451

Rebels in Northern Uganda after their return to civilian life: between a strong we-image and experiences of isolation and discrimination

2017· article· en· W2618858016 on OpenAlexvenueno aff
Artur Bogner, Gabriele Rosenthal

Bibliographic record

VenueCanadian Journal of African Studies / Revue canadienne des études africaines · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSociology and Norbert Elias
Canadian institutionsnot available
FundersDeutsche Forschungsgemeinschaft
KeywordsResistance (ecology)Isolation (microbiology)CriminologyGender studiesSpanish Civil WarSociologyPsychologyPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

This article is based on biographical interviews and field research carried out in two adjacent regions of northern Uganda on local peace and post-war processes. It focuses on the situation of former rebel fighters following their return to civilian life. In the case of Acholiland, these are primarily former “child soldiers” of the so-called Lord’s Resistance Army who were recruited by violent abduction; in West Nile they are primarily men who more or less voluntarily joined local rebel groups as adults. The following questions were investigated: How do rebels who have returned from the “bush” speak about their past and their present? What discourses do they confront within the groupings, or we-groups, to which they are regarded as belonging and whose collective knowledge they refer to? What is the nature of their present situation and how can it be socio- and psychogenetically explained and interpreted?

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)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.937
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.049
GPT teacher head0.295
Teacher spread0.245 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

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