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Record W3092079771 · doi:10.35632/ajis.v31i1.1029

Tripping with Allah

2014· article· en· W3092079771 on OpenAlexaboutno aff
Vernon James Schubel

Bibliographic record

VenueAmerican Journal of Islam and Society · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsIslamHajjNinthPilgrimageParagraphKnightHistoryReligious studiesSociologyLiteratureArtTheologyPhilosophyLawAncient historyPolitical science

Abstract

fetched live from OpenAlex

I should begin by confessing that I have been a fan of Michael MuhammadKnight’s work ever since I first read his novel, The Taqwacores, and his travelmemoir, Blue-Eyed Devi: A Road Odyssey through Islamic America, back in2007. I have since read all of his books and have taught several of them in mycourses on contemporary Islam and Islam in North America. I regularly teachhis account of the hajj from Journey to the End of Islam in my first-year “Introductionto Religion” course. I consider his book on the Five-Percent Nation,The Five Percenters: Islam, Hip Hop, and the Gods of New York, to be one ofthe finest ethnographies of a religious community ever penned. I was thereforepleased to find I have a blurb on the back of Tripping with Allah in which Ipraise him for his talent, his authenticity, and his passion. I consider the authora great writer. I envy his skill with language, his creative intellect, and, mostof all, his formidable work ethic. After all, this is his ninth book since the publicationof The Taqwacores (Soft Skull Press: 2004). However, I sometimeswonder exactly for whom he is writing because his books assume a sophisticatedaudience with backgrounds in a wide range of topics from the historyof Islam to American popular culture.In the final pages of Tripping with Allah, Knight sums up his career sofar with this remarkable paragraph.I’ve spent roughly twenty years as a Muslim of some form or other, a crazyconvert and then an ex-Muslim, progressive Muslim, ghulat Shi’a, Nimatullahidervish, Azrael Wisdom, Mikail El, Islamic Gonzo, “godfather ofMuslim punk rock,” Seal of Muslim Pseudo and now Pharmakon Allah,Muhammadus Prine, Quetzalcoatl Farrakhan who trips and says FatimaKubra but has this goofy idea of taking up the way of the salaf, and Dr. BruceLawrence just called me a malamatiyyah at a lecture in Vancouver. (p. 248)This paragraph is striking because it assumes so much of its reader, includinga rather encyclopedic knowledge of Islam, African-American religioustraditions, pop-culture, and what Frank Zappa might have called the “conceptualcontinuity” of the author’s entire body of work. The line that grabbed memost powerfully was the image of Bruce Lawrence, the eminent scholar ofIslam and Sufism, referring to Michael Knight as a malāmatīyah. This term, ...

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.145
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.003
Scholarly communication0.0060.007
Open science0.0010.008
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.1450.078

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 head0.005
GPT teacher head0.243
Teacher spread0.238 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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