Contrate quem luta: movimento dos trabalhadores sem-teto, tecnologias e economia digital solidária
Bibliographic record
Abstract
Resumo Este artigo tem o objetivo de analisar elementos de organização da iniciativa Contrate Quem Luta, do Movimento dos Trabalhadores Sem-Teto (MTST), enquanto experiência de tecnologia e trabalho em contexto de economia digital solidária. A partir de entrevistas com trabalhadores do projeto, reflete-se sobre a organização do trabalho e a perspectiva da economia digital solidária; a práxis do movimento social; e a organização da política de base. O MTST se organiza a partir do território, que precede a construção de tecnologias, e da práxis, articulada à construção de conceitos como o de soberania digital popular. Diante disso, pode-se argumentar que o Contrate Quem Luta tem a vantagem do estofo institucional do movimento social para se estabelecer, o que possibilita um fortalecimento da luta e da organização. Os trabalhadores não são apenas prestadores de serviço, eles auxiliam, também, na circulação das palavras e das lutas dos sem-teto.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".