Ethnicity and nationality among Ethiopians in Canada’s census data: a consideration of overlapping and divergent identities
Bibliographic record
Abstract
This article addresses the intersection of 'homeland' politics and diaspora identities by assessing whether geopolitical changes in Ethiopia affect ethno-national identifications among Ethiopian-origin populations living abroad. Officials in Ethiopia's largest ethnically-defined states recently began working to improve diaspora-homeland relations, historically characterised by ethnically-mobilized support for opposition and insurgency. The emergence of an 'Ethiopian-Somali' identity indicated in recent research, previously regarded as a contradiction in terms, is the most striking of a series of realignments between ethnicity and nationality. Such realignments reflect new orientations towards the homeland that impact diaspora engagement in politics and development. While diaspora returnees constitute a visible presence in some formerly marginalized areas of Ethiopia-including the historically disputed Somali region-large-sample data on ethnicity and nationality from Canadian censuses suggest that diaspora outreach efforts to historically marginalized groups have not (yet) effected large-scale changes in ethno-national identity, and that ongoing tensions in Ethiopia's federal politics may have different impacts on the identities of different ethnic populations.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".