Nation and diaspora: Rethinking multiculturalism in a transnational context
Bibliographic record
Abstract
Multiculturalism has redefined the nation as comprising a culturally pluralist population. However, the increased linkages between countries, produced by accelerated globlisation, have also engendered intricate transnational networks between diasporas residing in several states. The telephone, internet, satellite television and other media help construct a web of connections among these transnations enabling them to maintain and enhance their cultural identities. Diasporas have creatively engaged with transnational media and are participating in a globalisation-from-below. An increasingly cosmopolitan outlook has been fostered by the inter-continental links. But multiculturalism policies tend erroneously to continue viewing members of immigrant communities as having engaged in a oneway trajectory that breaks ties with their past. The current conceptualisation of multiculturalism as fixed within the context of the nation-state does not allow for a well-considered response to the transnational contexts in which immigrants live out their lives. Some migrant-producing states have begun to address these circumstances, but those of immigrant-receiving governments have generally been reluctant to acknowledge them.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.048 |
| Scholarly communication | 0.016 | 0.020 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".