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Record W2997765047 · doi:10.5750/dlj.v31i1.1793

Non-Apology in the Age of Apology

2020· article· en· W2997765047 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.

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

VenueThe Denning Law Journal · 2020
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsnot available
FundersAustralian GovernmentU.S. Department of Defense
KeywordsDeclarationIndigenousRedressPolitical scienceLawPoliticsSociology

Abstract

fetched live from OpenAlex

After more than two decades winding its way through a variety of United Nations (UN) mechanisms, in September 2007 the world’s indigenous peoples welcomed the news that the UN Declaration on the Rights of Indigenous Peoples (hereinafter the Declaration) was at last approved by the vast majority of nation-states.2 The four settler3 states that opposed the Declaration initially (the United States, Canada, Australia and New Zealand) have each in turn voiced their ultimate approval of the declaration and have issued statements in support to their indigenous citizens.In spite of the fact that these statements expressed a measure of regret for past wrongs committed, not one of those endorsements embodied a formal apology. Now that the Declaration has entered its eleventh year, many continue to question to what extent these endorsements have meaningfully advanced reconciliation for indigenous peoples and whether these endorsements were authentic in their stated desire to do more than just acknowledge the aspirations contained in the Declaration.This comment will examine the framework for political apologies in general and then consider the endorsements of the Declaration by the United States, Canada, Australia and New Zealand in light of contemporary apology theory. The article will then examine affirmative actions taken by those states following their endorsements in order to advance the claims of indigenous peoples and look at whether these actions have fallen short in providing meaningful redress for centuries of past wrongs.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.328
Teacher spread0.286 · 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