Bibliographic record
Abstract
This article offers a comparative study between two novels by Nova Scotian writers: George and Rue (2006), by George Elliott Clarke, and No Great Mischief (2000), by Alistair MacLeod. The main purpose of this analysis is to transform some of the pervasive assumptions that dominate interpretations of diasporic ontologies. Most conceptual contexts of diaspora, constructed around the idea of a homeland that is located elsewhere, can only partially be applied to historically long-established communities. Clarke’s and MacLeod’s works emphasize “native” identity, the historical presence of Africans and Scots in Nova Scotia and their ensuing attachment to the (home)land. The novels illustrate how the hostland may be transformed into a homeland after centuries of settlement. The favoring of routes over roots of many current conceptualizations of the diaspora thus contravenes the foundations on which these groups construct a “native/diasporic” identity. However, in settler colonies such as Canada, identifying these groups as unequivocally native would imply the displacement of the legitimate Indigenous populations of these territories. A direct transformation from diaspora to indigenous subjectivity would entail the obliteration of a (however distant) history of migration, on the one hand, and the disavowal of Indigenous groups, on the other. For these reasons, new vocabulary needs to be developed that accurately comes to terms with this experience, which I propose to refer to as “settled diaspora.” In settled diasporas, the notions of attachment to a local identity are reconciled with having distant points of origin. At the same time, there is conceptual room to accommodate claims of belonging that differ from those by Indigenous populations. Thus, the concept of the settled diaspora redresses critical restrictions in diaspora theory that prevent discourses of migration from being applied to spaces of settlement.
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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 | 0.018 | 0.012 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".