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Record W2034484437 · doi:10.1017/s0022278x08003248

‘There's no bad bush to throw away a bad child’: ‘tradition’-inspired reintegration in post-war Sierra Leone

2008· article· en· W2034484437 on OpenAlexaff
Laura Stovel

Bibliographic record

VenueThe Journal of Modern African Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsCarleton University
Fundersnot available
KeywordsSierra leoneIdeal (ethics)State (computer science)Government (linguistics)Economic JusticeSociologySpanish Civil WarPolitical scienceLawCriminologyEthnology

Abstract

fetched live from OpenAlex

ABSTRACT Government and civil society leaders in African transitional states often use rituals and expressions inspired by tradition to facilitate the integration of ex-combatants and displaced people. In Sierra Leone, the expression ‘There's no bad bush to throw away a bad child’, conveys a vision of African society as inherently forgiving and inclusive, and of Africans as needing to be amongst their own people. This ideal was perfectly suited for the needs of an impoverished state seeking to ease the strain on cities, and relying on communities' organic capacities to absorb their own people. This research draws on interviews with diverse Sierra Leoneans to examine the assumptions behind this communitarian ideal. It argues that while ‘There is no bad bush … ’ promotes a form of reconciliation defined as peaceful coexistence, it lacks the elements of justice required for deep reconciliation to occur.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.014
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.307
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), 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

Citations62
Published2008
Admission routes1
Has abstractyes

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