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Record W4312176870 · doi:10.30641/ham.2022.13.413-428

Komisi Kebenaran dan Rekonsiliasi dalam Era Nontransisional: Implementasi di Korea Selatan dan Kanada

2022· article· id· W4312176870 on OpenAlex
Anggarani Utami Dewi, Mustafa Fakhri

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJurnal HAM · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicLegal and Policy Analysis in Indonesia
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Artikel ini bertujuan untuk menjelaskan praktik Komisi Kebenaran Rekonsiliasi (KKR) dalam era nontransisional. KKR dalam era nontransisional dibentuk oleh negara demokrasi atau untuk mengungkapkan kebenaran atas peristiwa pelanggaran hak asasi manusia (HAM) berat yang terjadi puluhan tahun yang lalu. Penelitian ini menggunakan metode penelitian perbandingan yang membandingkan praktik KKR di Korea Selatan (Commission on Clearing up Past Incidents for Truth and Reconciliation/TRCK) dan Kanada (Truth and Reconciliation Commission of Canada/TRCC). Hasil penelitian menunjukkan beberapa hal, yakni bahwa TRCK dan TRCC dibentuk sebagai upaya negara menyempurnakan berbagai upaya terdahulu dalam menangani pelanggaran HAM berat di masa lalu; jumlah keanggotaan staf lebih memberikan dampak yang signifikan terhadap kesuksesan KKR dibandingkan jumlah komisioner; adanya norma yang mengatur mengenai perlindungan, larangan, dan sanksi bagi komisioner dan staf, pemberi kesaksian, orang-orang yang tersebut namanya dalam kesaksian serta masyarakat secara umum; TRCK dan TRCC mengumpulkan fakta dalam waktu dua tahun; dan proses rekonsiliasi dilakukan oleh komisi melalui rehabilitasi nama baik dan melakukan berbagai upacara peringatan. Artikel ini merekomendasikan agar praktik KKR di Korea Selatan dan Kanada dapat diadopsi dalam penyiapan kebijakan pembentukan KKR di Indonesia.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0060.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.002
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 head0.302
Teacher spread0.282 · 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