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Reconciliation

2010· book-chapter· en· W307168929 on OpenAlexaff
Ronald Niezen

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

The human rights confessional A reconfiguration of the moral order of difference through international law can be clearly seen in the two interrelated ways that the worst abuses of states are recognized and remedied: in state-sponsored apologies and forums of truth and reconciliation. One of the most unusual features of the global rights regime is a moral/legal development in which the act of apology and the truth and reconciliation commission have together become the most significant and legitimate methods by which the collective harm wrought by the state is acknowledged and remedied. Public apologies and truth and reconciliation commissions have become like confessionals for states. As expressed by Desmond Tutu, the state apology becomes an expression of love: “[A]s a nation we are saying, we are sorry, we have opened the wounds of your suffering and sought to cleanse them; this reparation is a balm, an ointment, being poured over the wounds to assist in their healing” Expressing essentially the same point more prosaically, anthropologist R.A. Wilson points out that in South Africa, “national legal discourse did not contain the language with which to undertake its own rehabilitation, and the liminality of the TRCallowed it to plagiarize from a religious idiom.” This suggests something odd about the processes of apology and of truth and reconciliation: there is a widely shared expectation that misguided states, through their personnel, should express deep human feelings of personal regret and desire for absolution. There is no manifestation of genocidal violence or other form of systemic political abuse so severe that it overrides the legitimacy of public contrition inscribed in international law. Their most important feature is that they are public, that the sins of the state are exposed to the light of day. One of the central goals of apology and testimony in these human rights remedies is the conceptual reform or “re-education” of the citizen-bases of those states identified as having committed human rights violations in their recent history. In some circumstances the rights-affirming ideas associated with apology and truth and reconciliation are inconsistent with durable prejudices and propaganda for which the state is being held responsible. This introduces a tension between the judgments and moral content of human rights as expressed in the state’s language of contrition and the misguided ideas once tolerated or cultivated by the state, which may still be held by a significant segment of the citizenry. The central significance of the apology and truth and reconciliation commission (TRC) as human rights remedies lies in the fact that they call upon states to take an active part in the persuasion of its domestic publics, to undertake efforts to bring popular opinion more in line with the moral universals of human rights. Human rights do not just use persuasion as a direct source of shame against the perpetrators of rights violations, but as an active instrument of their rehabilitation.

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)0.012
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.075
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0080.009
Scholarly communication0.0130.015
Open science0.0050.022
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0750.026

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 head0.028
GPT teacher head0.232
Teacher spread0.204 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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