Unfiltered and Unapologetic: March for Our Lives and the Political Boundaries of Age
Bibliographic record
Abstract
When young people took to the streets on 24 March 2018 as part of March for Our Lives (MFOL), they leveraged narratives of age and generation to inspire others to take action on preventing gun violence incidences across the United States. Despite the political precarity associated with their ages, student-activists claimed public space and voice as more than the victims of the so-called “mass shooting generation.” This article explores how narratives of age and generation shape their political legibility and authority in the MFOL movement. Based on analyses of Parkland student speeches and reflections and MFOL protest signs, I consider the paradoxical manner in which youth-activists play with notions of age in order to mark themselves as essential political actors and vulnerable not-yet subjects in need of protection. It is my contention that MFOL illustrates the liminal borders of youth political (in)visibility and the transformative possibilities of age-based politics for youth-activists.
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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 | 0.000 |
| 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 | 0.001 |
| 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".