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Record W7164515133 · doi:10.5149/9781469678733_braxton

Rap and Redemption on Death Row

2024· book· W7164515133 on OpenAlexaboutno aff
Alim Braxton, Mark Katz

Bibliographic record

VenueThe University of North Carolina Press eBooks · 2024
Typebook
Language
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonPower (physics)Quarter (Canadian coin)Islam

Abstract

fetched live from OpenAlex

Imprisoned since age nineteen, Alim Braxton has spent more than a quarter century on North Carolina’s death row. During that time, he converted to Islam and dedicated his life to redemption. Braxton, a rapper since the age of thirteen, uses his rhymes as a form of therapy and to advocate for prison reform, particularly by calling attention to the plight of the wrongfully incarcerated. This book, a hip-hop-rich prison memoir, chronicles Braxton’s struggles and triumphs as he attempts to record an album while on death row, something no one has done before. Braxton’s world is complex: full of reflections on guilt, condemnation, incarceration, religious awakening, and the redemptive power of art. Ultimately, Braxton shows us that even amid the brutality of our prison system there are moments of joy, and on death row joy may be the most powerful form of resistance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.007
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0100.002

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.

Opus teacher head0.040
GPT teacher head0.252
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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