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Reconciliation and Reparations

2015· book-chapter· en· W2200541780 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.

Bibliographic record

VenueOxford University Press eBooks · 2015
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsObligationAlienationPoliticsPolitical scienceLaw and economicsDutyOrder (exchange)Construct (python library)LawSocial orderSociologyBusiness

Abstract

fetched live from OpenAlex

Abstract This chapter distinguishes between two concepts of reconciliation that address two kinds of alienation endemic to contexts of civil, interstate, and transnational wars: relational reconciliation, which responds to alienating interactions between agents, and structural reconciliation, which responds to alienating social and political practices and structures that mediate agents’ activities and relations. These two concepts of reconciliation generate different accounts of the purposes of reparations, the agents responsible for reparations, and the forms that reparative measures should take. Reparations schemes in postwar peace settlements should aim not only to reconcile belligerents relationally to each other but also, more fundamentally, to construct a mutually affirmable and affirmed postconflict social/political order. To the extent that contemporary international law limits the duty of reparations to states that are directly responsible for wrongful conduct and excludes disgorgement as an obligation of structural reparation, it remains too focused on the relational versus structural aspects of political reconciliation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.980
Threshold uncertainty score0.625

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 studies0.0000.000
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 head0.058
GPT teacher head0.266
Teacher spread0.208 · 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