Diasporic Spectrality: Minorities & Cultural Assertions in Canada, Australia and Beyond
Bibliographic record
Abstract
This paper provides a critical introduction to a special issue of Australian Canadian Studies 23(2) 2005 - "Diasporic Spectrality: Minorities and cultural Assertions in Canada, Australia and Beyond" - guestedited by Gerry Turcotte and Gaetano Rando. The paper discusses the selection of papers that produced a coherent, though not uniform, picture of minority interests that examine the complex ways culture is “asserted” in contemporary times, primarily in the Canadian context, but understood within the larger story of migration, plurality and diaspora. As we worked through the contributions we found not only that they represented a wide variety of fields — from broadcast policy to Italian migration as expressed in literary texts; from Caribbean-Canadian literature to a wider Caribbean language of exile internationally; to notions of Indigenous diaspora as reflected in the life and work of Canada’s Alootook Ipellie — but also that key threads connected the material in “uncanny” ways.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.053 | 0.030 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| 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".