Diasporic Identities and Spaces Between
Bibliographic record
Abstract
Introduction Robert Kenedy, Margaret Greenfields, Jonathan Rollins and Sharmani Patricia Gabriel Nation and Liminal Desire: Relocating Diaspora and Homeland in Postcolonial Malaysia Sharmani Patricia Gabriel Illimitable Liminality or the Return to Structure? Locating Displacement in Bangladesh Victoria Redclift Situational Identity and Liminal Jewish Diaspora from France to Montreal Robert Kenedy Diasporic Mash-Ups: Code-Switching, Liminality and Intercultural Identities in the Work of Wayson Choy and Gautam Malkani Jonathan Rollins Local Spaces, Liminality and Authenticity: The Case of the Irish Diaspora in England Marc Scully On the Liminality of Sedentarism: Gypsies, Travellers and the Trope of Nomadism Margaret Greenfields
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".