Jarvis R. Givens, School Clothes: A Collective Memoir of Black Student Witness
Bibliographic record
Abstract
their own students, sharing the hypothetical mic.They admit the barriers to doing Hip Hop pedagogy in traditional public school settings in the United States.Kelly and Robinson acknowledge educators' respectability and students' acceptance of conventional teacher-student power dynamics as roadblocks to change; Rawls and Robinson are honest about educators' initial resistance and fear to incorporate youth culture and the possibilities for classroom culture as educators grow into a Hip Hop mindset.Section IV presents tangible products, like Nightengale-Lee's Liberating Literacies Template, and guiding questions that involve a HHP lens.The lived experience the contributors share in this section of the handbook aspires to propel readers into doing the Hip Hop pedagogical work.Hip Hop is generated from youth calling out and naming the state of their world; the throughline that carries the reader from the beginning to the end of this book is the call: the employment of a Hip Hop based practice and pedagogy is not a quick cultural fix.A deep reverence for the culture and the willingness to interrogate when operating within it outlines an avenue for educational transformation.To use Hip Hop in education is a commitment to one's self-reflection, critical inquiry, and relationship to the students' readers serve.Hip Hop has acted as an anchor so that many marginalized communities could find visibility and agency; this handbook has the possibility to be the soundtrack to regenerate classroom cultures with applicable tools and thoughtful inquiry.
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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 | 0.002 | 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 | 0.016 | 0.007 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 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".