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Record W2913735993 · doi:10.1080/01419870.2019.1569702

Networking justice: digitally-enabled engagement in transitional justice by the Syrian diaspora

2019· article· en· W2913735993 on OpenAlex
Chris Tenove

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEthnic and Racial Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDiasporaTransitional justiceEconomic JusticeSociologyPoliticsPolitical scienceCONTESTVirtuality (gaming)LawGender studies

Abstract

fetched live from OpenAlex

Digital communication technologies (DCTs) introduce new opportunities and challenges for diaspora to advance transitional justice. This article proposes three DCT-enabled mechanisms that shape diaspora engagement with transitional justice politics and processes, developed through an analysis of diaspora responses to rights violations in Syria. First, diaspora can promote transitional justice aims through connective action: loosely-coordinated, transnational mobilizations using social media. Second, DCTs enable diaspora to contribute to crowdsourced documentation of rights violations. Third, diaspora seeking to advance transitional justice may face digital repression by authoritarian governments in their original homelands. The article shows how DCTs may alter the means and opportunities for diaspora to engage in transitional justice activities, including in situations of ongoing conflict or repression in their original homelands. It also demonstrates how digital spaces are strategically engaged by activists, civil society organizations, state governments, and other actors seeking to advance or contest transitional justice aims.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.684

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 studies0.0010.000
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 head0.056
GPT teacher head0.364
Teacher spread0.309 · 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