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Record W4385490832 · doi:10.3390/socsci12080438

Mirroring Truths: How Liberal Democracies Are Challenging Their Foundational Narratives

2023· article· en· W4385490832 on OpenAlexaboutno aff
Carles Fernández-Torné, Graeme Young

Bibliographic record

VenueSocial Sciences · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsLiberal democracyDoctrinePower (physics)Political scienceNarrativeLaw and economicsEurocentrismSociologyColonialismPolitical economyPoliticsDemocracyLaw

Abstract

fetched live from OpenAlex

Long-established liberal democracies with histories of settler colonialism—from the United States and Canada to Australia and Scandinavia—are beginning to explore their histories of violence and dispossession. This, in many ways, is long overdue, but the desire to come to terms with past injustices should not obscure the challenges that still stand in the way of any reasonable effort to do so. We argue that transitional justice can be applied to colonial history in liberal democracies, but there are major conceptual and practical obstacles that need to be overcome if this is to happen in meaningful ways. We explore three of these obstacles here that are particularly significant: the doctrine of intertemporal law, the unequal power balance between the Global North and the Global South, and national identity. If these are to be overcome, it is important to tie historical to present injustices and to incorporate, beyond violations of physical rights, violations of economic and social rights that are particularly relevant for understanding continuities between past and ongoing violations. These rights are commonly neglected even by states that recognize a broad set of liberal rights and have the capacity to ensure that they are realized, and represent a promising avenue for pursuing a truly inclusive, equitable, and universal understanding of justice.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.999

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 studies0.0030.001
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 head0.171
GPT teacher head0.287
Teacher spread0.116 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations4
Published2023
Admission routes1
Has abstractyes

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