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Record W4415439684 · doi:10.1177/09646639251386428

Cultural Rights in Motion: Legal Invisibility, Forced Migration, and the Limits of Universality

2025· article· en· W4415439684 on OpenAlexaff
Sarah Lajeunesse

Bibliographic record

VenueSocial & Legal Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHuman rightsUniversality (dynamical systems)PoliticsNormativeRefugeeFundamental rightsHarmInternational human rights lawCritical legal studies

Abstract

fetched live from OpenAlex

This paper rethinks the place of cultural rights in international human rights law through the lens of forced displacement. While cultural rights are increasingly referenced in legal discourse, they remain fragmented, weakly justiciable, and structurally sidelined, especially in refugee and asylum regimes. Drawing on critical frameworks of intersectionality and epistemic justice, the paper builds on the concept of cultural displacement to capture the loss of collective identity, memory, and belonging resulting from forced mobility. It shows how dominant legal paradigms, anchored in liberal individualism, abstract universality, and Western epistemologies, erase or depoliticize cultural harm by treating displaced persons as atomized rights holders rather than as members of relational and culturally embedded communities. Through a critical reading of judgments issued by international and regional courts, the article exposes the hierarchies of recognition that govern whose culture is rendered legible and whose remains invisible. It argues for a pluralist and situated approach to universality, one that affirms cultural rights as both individual and collective, symbolic and material, and essential to the legal and political agency in contexts of displacement. In doing so, it calls for a reconfiguration of international law's normative foundations, toward more inclusive and decolonial imaginaries 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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.959

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 studies0.0010.001
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 head0.034
GPT teacher head0.365
Teacher spread0.331 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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