Doing the Feminist Intergenerational Mic: Methodological Reflections on Digital Storytelling as Process and Praxis
Bibliographic record
Abstract
In this article, we reflect on the methodology of a digital storytelling workshop held in May 2016, gathering activists and academics across four generations to share and record their activist histories. Drawing on observational notes and participant feedback, we investigate whether and how the workshop challenged knowledge-production conventions, ageist assumptions, and intergenerational scripts. We offer the concept of a feminist intergenerational mic, arguing that the norm-challenging possibilities of this methodology lay not in providing access to a mic, but rather in particular, routinized, feminist and intergenerational practices. Through this article, we contribute to conversations about feminist methodologies, power and vulnerability in research, participatory media creation, and aging studies.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.112 | 0.028 |
| Scholarly communication | 0.019 | 0.007 |
| Open science | 0.012 | 0.002 |
| 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; 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".