The Romani Ethos: A Transnational Approach to Romani Literature
Bibliographic record
Abstract
In the context of the sociopolitical articulation of the Romani diaspora, this paper explores how its narrative is supported in four literary works written in different languages and national settings – Fires in the Dark by Louise Doughty, Camelamos Naquerar (We want to speak) by José Heredia Maya, Goddamn Gypsy by Ronald Lee, and Dites-le avec des pleurs (Say it with tears) by Mateo Maximoff – shaping a transnational/diasporicliterary production. Departing from the existence of a common Romani ethos, the analysis focuses on how these literary works shape a transnational/diasporic literature by representing the specificities of the Romani history – in particular the recollection of traumatic collective experiences – through a number of narrative strategies, such as self-representation or the depiction of cultural memory.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".