Desempregados brasileiros, uni-vos na empreendedora informalidade
Bibliographic record
Abstract
Este artigo analisa como narrativas discursivas, de empresas midiáticas brasileiras, tentam construir, através de reportagens, sentidos sobre desemprego, orientá-los como efeitos de culpabilização dos trabalhadores por sua situação de desemprego. Mais ainda, coloca-se como evidência de sentidos que o triunfo contra o desemprego está no empenho em empreender, tornar-se proletário de si, ao modo sujeito-empresa, mesmo que por meio da informalidade. Para tanto, nos fundamentamos na análise do discurso materialista, de base francesa, bem como nas teorias sociais de Dardot e Laval (2017) acerca do surgimento de discursos, de perspectiva neoliberal, em que o sujeito trabalhador deve assumir-se como empresa, em uma condição ética e de razão de existência no mundo do capital. Assim, partimos da análise discursiva de seis reportagens produzidas entre 2017 e 2019, para compreendermos esse fenômeno discursivo.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".