Bibliographic record
Abstract
The Lebanese are the largest group of Middle Eastern immigrants in the United States, and Lebanese immigrants are also prominent across Europe and the Americas. Based on over eighty interviews with first-generation Lebanese immigrants in the global cities of New York, Montreal and Paris, this book shows that the Lebanese diaspora – like all diasporas – constructs global relations connecting and transforming their new societies, previous homeland and world-wide communities. Taking Lebanese immigrants’ forms of identification, community attachments and cultural expression as manifestations of diaspora experiences, Dalia Abdelhady delves into the ways members of Lebanese diasporic communities move beyond nationality, ethnicity and religion, giving rise to global solidarities and negotiating their social and cultural spaces. The Lebanese Diaspora explores new forms of identities, alliances and cultural expressions, elucidating the daily experiences of Lebanese immigrants and exploring new ways of thinking about immigration, ethnic identity, community, and culture in a global world. By criticizing and challenging our understandings of nationality, ethnicity and assimilation, Abdelhady shows that global immigrants are giving rise to new forms of cosmopolitan citizenship.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.937 | 0.906 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".