Established and emergent political subjectivities in circular human geographies: transnational Arab activists
Bibliographic record
Abstract
In this paper, we argue that Arab transnational citizenship mobilization can be configured through ‘geographies of circularity’ (e.g. bridging multiple locales, encircling the state, transversally stirring political subjectivities, and in the full-circle return of identity). Circularity helps ground and highlight the character and significance of transnational political and social activism, and the transfer of communications, skills, behaviors, organizational forms, tools, and projects (political technologies’) for citizenship. Based on the networks initiated by the Arab revolts, we argue that Arab émigrés, workers, and students – framed here as Arab transnationals – traverse and embody these geographies of circularity and leverage connectivity to mobilize citizenship claims and remit/ bridge/diffuse/export/import important progressive ideas and values locally in the western world and into the Middle East and North Africa (MENA) region.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".