‘We Want Freedom Not Just Safety’: Biography of a Girlfesto as a Strategic Tool in Youth Activism
Bibliographic record
Abstract
Girls are increasingly visible as activists demanding social change, equity and justice. Yet communication between girls and policymakers is fraught with challenges over how to translate young people’s knowledge into policy change. This article traces the history of the manifesto as a form for the marginalized to articulate new social visions, drawing on the Riot grrrl manifestos as examples of this genre. It describes the creation of the first Girlfesto at the 2018 Circles Within Circles event that brought together girls, young people, activists, researchers, and policymakers from six countries in the Global North and South to consider the role of community art-based activism by girls and young people in challenging gender-based violence, concentrating on colonial systems of violence against indigenous women and girls in Canada and South Africa. We analyse the Montebello Girlfesto and the opportunities and challenges in using the Girlfesto model, with reflections from girl participants.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.025 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".