Networking justice: digitally-enabled engagement in transitional justice by the Syrian diaspora
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".