Community sector dynamics and the Lebanese diaspora: Internal fragmentation and transnationalism on the Web
Bibliographic record
Abstract
The author analyses the presence of Lebanese organizations on the Web and shows the transnational links between associations from different countries, starting from a case study that includes France and Canada. The nature and density of these connections are partly attributable to the importance of linguistic, religious and/or political factors. The graphs indicate that, while there is a real attempt to transcend the divisions in the diaspora cyberspace, the fragmentation of collective dynamics remains important. The most important alliances revolve around a few individual portals and some institutional websites. However, the weakness of the Lebanese government does not allow its institutions to play a unifying role for the Lebanese diaspora. In fact, economic initiatives are more active than political ones. The connections between websites claiming to be apolitical show the persistence of selective alliances, which reflect the usual Christian/Muslim divide. Transnationality is thereby limited, and the Lebanese Canadian and French organizations are interconnected only through portals that are not representative of the grassroots community dynamics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".