Bibliographic record
Abstract
This article analyses rapper NAS’ video entitled “Hate Me Now” as an instance of his broader self-perception/self-construction/self-affirmation/self-proclamation as the Messiah of hip-hop and a rap-prophet making proclamations on American socio-political and religious values. In particular, the article locates and evaluates the significance of the video within the broader context of the artist’s ambiguous negotiation of the relationship between religion(s) and hip-hop–explicitly rap music–that extends beyond the usual blues connection. The article makes the claim that through rap music and other aspects of hip-hop culture, certain hip-hop artists see themselves as performing the role that they believe religious leaders and politicians seem to have failed at fulfilling. In this sense, NAS’ soteriological self-portraiture in the video analysed in this essay, and his musical career in general, is more than simply metaphoric, but enters into the realm of the metonymic, thus opening up space for a reconfiguration of not only hip-hop as another source of a religious sensibility, but also of “religion” as another commodity in the diverse marketplace of worldviews that give meaning to our everyday reality.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".