A critical mixtape for the movement: reflecting on creative and critical youth practices in research
Bibliographic record
Abstract
We, the four co-editors, write the introduction for this special issue from our respective locales and positionalities while being flooded with images and accounts of injustice. The present moment is marked by a desire for radical change, a belief in new possibilities for the world, and an overwhelming sense of urgency. Things have to move. We consider this volume a critical mix-tape created by young people, artists and scholars during this moment of possibilities as evidence of how this urgency drives conceptual and methodological innovations to advance notions of equity, liberation, hope, healing, transformation, and justice. Each of the manuscripts in this issue contribute unique “songs,” with melodies of uplift, rhythms of resistance, and lyrics of liberation that encourage us to create humanizing spaces through embodied praxis as social justice.
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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 | 0.035 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.022 | 0.030 |
| Scholarly communication | 0.024 | 0.013 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.005 | 0.017 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".