Transnational Dialogues and Community Making in the Syrian Digital Space
Bibliographic record
Abstract
This thesis examines the ways diasporic and transnational Arabs, and particularly Syrians, utilize and engage in the virtual space to voice their experiences and engage in transnational dialogues, while overall taking part in the (re)construction of their homelands. This brings forth the discussion of borders and how they are practiced in relation to identity, sociocultural performances, and kinship relations. Borders are not limited to their physical territories but are continually performed and embodied, one the one hand through the memories, kinships, and networks of diasporas and refugees, and on the other through their hardships of being limited to their nationalities. My data will show that diasporic Syrians and non-Syrian Arabs engage in dialogues pertaining to their racial, national, and historical identities, in addition to showing the creative expressions of Syrian artists in relation to their memories and displacement. Altogether, this thesis presents the ways diasporic Syrians and non-Syrian Arabs use the digital space to express their identities and experiences and in effect shape their homelands.
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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 | 0.001 | 0.001 |
| 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 | 0.017 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.000 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".