MétaCan
Menu
Back to cohort
Record W4405848747 · doi:10.1093/ijtj/ijae039

Transitional Justice and the Problem of Democratic Decline

2024· article· en· W4405848747 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Transitional Justice · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of Toronto
FundersGlobal Affairs Canada
KeywordsDemocracyTransitional justicePolitical scienceEconomic JusticeLaw and economicsCriminologyLawSociology

Abstract

fetched live from OpenAlex

ABSTRACT∞ When transitional justice emerged as a field of practice amid the third wave of democracy, many hoped it would reinforce the rules and norms that prevent democratic decline. However, over half of all the democracies that transitioned from autocracy or experienced civil war in the last half-century have since undergone backsliding or breakdown. Is transitional justice partly to blame? This article theorizes six ways that transitional justice might contribute to democratic decline, or alternatively, to democratic progress. It then analyzes data from 118 democratic spells in 89 countries spanning 1970 to 2023 to evaluate which hypotheses are plausible. In line with theories focused on endogenous change, the findings suggest that transitional justice is actually associated with stronger electoral and judicial institutions, which reinforces the guardrails of democracy against autocratic reversion. Yet, while transitional justice might help prevent full democratic breakdown, it does not hinder democratic backsliding, particularly that which is driven by government restrictions on civic association.

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.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.018
GPT teacher head0.250
Teacher spread0.232 · 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