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Record W3115822377 · doi:10.15273/allons-y.v3i0.10060

Child Soldiers in the Democratic Republic of Congo: Revisiting ‘Reintegration’ through a Psycho-Social Framework

2020· article· en· W3115822377 on OpenAlexvenueno aff
Arpita Mitra

Bibliographic record

VenueAllons-y Journal of Children Peace and Security · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsDisarmamentDemobilizationDemocracyPolitical sciencePsychologySocial stigmaCriminologyMedicinePoliticsLawFamily medicine

Abstract

fetched live from OpenAlex

The paper assesses ‘reintegration’ mechanisms implemented for child soldiers in the Democratic Republic of Congo (DRC) in the overall Disarmament-Demobilisation-Reintegration (DDR) programme. It re-visits the ‘macro-level success’ claimed by DDR mechanisms in DRC internationally and focuses on evaluation strategies at the ‘micro-level’ implementation of the said objectives. The paper advances a psycho-social assessment of reintegration of child soldiers considering their complex identities as ‘victim-perpetrator-bystander’. Identifying the gaps between individual experiences of war trauma (psychological breakdown) and community reintegration (social reintegration, discrimination, and stigma), the paper conceptualises reintegration measures vis-à-vis children’s psycho-social needs and greater community involvement.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.022
GPT teacher head0.320
Teacher spread0.298 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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