Downloading New Identities: Ethnicity, Technology, and Media in the Global Greek Village
Bibliographic record
Abstract
This article addresses the ways in which new media and technology contest how Greek ethnic communities in Canada are organized and structured. New technologies allow Greeks to go beyond their physical community and interface, via computer, television, or periodicals with Greeks on a global scale. I argue that current uses in media and technology signal the creation of new dimensions to Greek diasporic identity and imply stronger ties with the homeland and other diasporic communities, thus contesting traditional assimilation paradigms indicating that European ethnic groups are in the twilight of their existence. These findings suggest an increase in the application of new technologies among the first and second generations with interesting implications for our understanding of ethnic identity. I propose that the advent of high-tech forms of media in the last fifteen years has created new outlets for expressing ethnicity among those who already have some Greek ethnic consciousness. The means of acquiring social and cultural capital within diasporic communities is expanded to include these new forms of media, with implications for habitus and daily practices.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".