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Record W2091503109 · doi:10.1080/15570274.2006.9523235

BEYOND TRUTH COMMISSIONS: INDIGENOUS RECONCILIATION IN UGANDA

2006· article· en· W2091503109 on OpenAlexaff
Joanna R. Quinn

Bibliographic record

VenueThe Review of Faith & International Affairs · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsWestern University
FundersWorld Bank Group
KeywordsGrassrootsIndigenousForgivenessRestorative justiceRetributive justiceTransitional justicePolitical scienceLawEconomic JusticeSociologyDemocracyState (computer science)Criminology

Abstract

fetched live from OpenAlex

Some Western reconciliation mechanisms that have been implemented in non-western contexts have proven unable to repair society because of their cultural foreignness. Reconstruction begins with the process of publicly acknowledging wounds inflicted and endured, then moving to forgiveness. Traditional mechanisms, such as performing reconciliation rituals, appealing to village courts, and organizing dispute resolutions can be more effective in bringing reconciliation by combining retributive, restorative, and reparative justice in keeping with the values of the community. These indigenous mechanisms have more authority at the grassroots level than the Western institutions of international courts and truth commissions.

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)0.010
metaresearch head score (Gemma)0.015
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 score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.007
Scholarly communication0.0080.004
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.324
Teacher spread0.304 · 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

Citations26
Published2006
Admission routes1
Has abstractyes

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