Time of the gypsies and space for the voice of a Roma woman; reading Olga Mariano's Pedaços de Mim (2021)
Bibliographic record
Abstract
The publication of Olga Mariano’s Pedaços de Mim in 2021 signals the presence of a voice that has systematically been absent from the Portuguese literary field: that of the Portuguese Roma. Within the European context, the almost non-existence of Portuguese Roma literature contrasts significantly with the constitution of substantial corpora of Roma authors published in Eastern European countries, in the former Soviet Union, and even in Western European countries, where these literary corpora have been less expressive but still present in their respective literary markets. The almost non-existence of Portuguese Roma literature strengthens the prevailing idea that Portuguese literature is the expression of a taintless Portuguese cultural homogeneity. This essay argues that the publication of Pedaços de Mim is opportune at a time when several Portuguese writers of African descent have also emerged and widened the scope of the discussion on the legacy of Portuguese colonialism as a history of Portuguese exclusion and segregation of ethnic minorities; segregation is also the history of the Roma in Portugal. Mariano’s poetry deconstructs literary stereotypes associated with the Roma as explored by non-racialized Portuguese writers. The visibility and encouragement given to ethnic-minority authorship show the extent to which literature can be a privileged space for the acceptance of their humanity and take the shape of reparation of the historical wrongs of exclusion.
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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 | 0.007 | 0.015 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".