Hartazgo: #YoTeCreo as an expression of digital feminist activism in Venezuela
Bibliographic record
Abstract
On 27 April 2021, #YoTeCreo sparked as one of the first major instances of digital feminist activism (DFA) against sexual violence in Venezuela. Women united using both Twitter (since renamed ‘X’) and Instagram, shared their experiences . #YoTeCreo trended and opened further discussions on the prevalence of sexual violence. Through qualitative interviews with eight #YoTeCreo founders, this article centres women’s experiences in organizing in DFA against sexual violence in Venezuela and examines the factors that encouraged the leaders to create this campaign. Through the qualitative analysis, I argue that #YoTeCreo was not simply a transplantation of the #MeToo from North to South. Instead, it was sparked by cross-border movements of ideas, persons, and places; the role of media and entertainment; the role of migrant women; the feeling of ‘hartazgo’, a sense of empathy, and sorority. This article expands on DFA in the Global South; as one of the few contemporary articles analysing DFA in Spanish, attentive to Venezuela’s unique cultural and political circumstances, where academic research is underdeveloped. Finally, it expands feminist knowledges and the existing research on DFA by prioritizing the voices of women leading DFA in the Global South
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".