Quilombola women confronting digital discrimination in Brazil
Bibliographic record
Abstract
This work discusses the relationship between digital disconnection and the violation of rights in Quilombola territories. Quilombolas are an ethnic-racial group with Black origins associated with oppression and resistance over the centuries in Brazil. The research was conducted with 41 women aged between 18 and 73 who are leaders in 35 remaining Quilombola communities in Minas Gerais, Brazil. The impacts of limited access to information and communications technology (ICT) were assessed using an intersectional perspective, considering social markers of difference such as gender, social class, ethnic-racial belonging, and territory. The results show that 11 territories lack internet service, significantly restricting access to information, health, education, and social participation. The research points to the need for considering digital inequity as another matrix of intersectional oppression, as being disconnected or having restrictions on access and use of ICT increases the vulnerability of these territories, especially for the Quilombola women.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.011 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".