5 - Uma basofaria crioula: consideracoes sobre as narrativas O meu poeta (1992), A morte do meu poeta (1998), de Germano Almeida e Biografia do lingua (2015) de Mario Lucio Sousa
Bibliographic record
Abstract

 
 
 Laughter can be understood and used by/under several aspects, but in these considerations it is read in its political-ideological bias, in line with the interpretation of the comic in its implication and social responsibility, as recommended by Wole Soyinka (1988), when define it, too, as a resource for raising awareness and facing the structures of oppression. As objects of discussion of these analytical perspectives, the literary corpus is centered on the narratives of the Cape Verdean writers Germano Almeida and Mário Lúcio Sousa, who have great national and international projection, moving through different spaces of artistic and public life, most notably in their performances as literary creators and elected deputies. So, here, in a synthetic way, I trace readings on the works O Meu Poeta ([1990], 1992) and A Morte do Meu Poeta (1998), by Germano Almeida, and Biografia do Língua (2015), by Mário Lúcio Sousa, to problematize how these books use risibility in dealing with demands and categorizations about race, ethnicity, gender and class in the context of Cape Verde. Thus, this work is expected to be able to contribute to the bibliography referring to investigations on Cape Verdean literature(s), as well as to studies about the comic in African writings in Portuguese.
 
 
 
 
 
 
 Mariana Andrade Gomes, Pesquisadora Associada I da Coordenadoria de Estudos da África da Universidade Fedral de Pernambuco (CEAf-UFPE), Co-Coordenadora do Grupo de Estudos Dúdú Èrò (PE), Brasil. Email: gomes.marianaandrade@gmail.com
 
 
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".