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Record W3092496668 · doi:10.35632/ajis.v22i2.1713

Against the Modern World

2005· article· en· W3092496668 on OpenAlexfundno aff
Ali Hassan Zaidi

Bibliographic record

VenueAmerican Journal of Islam and Society · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
FundersUniversity of TorontoYork University
KeywordsHumanityIslamBiographyEconomic JusticeReligious studiesMuslim worldSociologyHistoryEnvironmental ethicsGender studiesPhilosophyTheologyLawPolitical scienceArt history

Abstract

fetched live from OpenAlex

One effect of 9/11 has been that Muslim voices, which until then had beenmostly ignored, are increasingly reaching a wider audience of other Muslimsand non-Muslims. In Europe and North America, this has meant that selfidentified“progressive” Muslim scholars who emphasize social justice, aswell as “traditional” Muslims who emphasize Islam’s spiritual or esotericdimension, have been contributing in a much more vocal manner to the contemporaryinterpretation of what it means to be Muslim. Since most of theleading figures presented herein are Sufi Muslims of a particular strand ofesoteric Islam, this book helps fill an important lacuna concerning the developmentof the traditionalist position – a position that has been voiced bysuch Muslim scholars as Seyyed Hossein Nasr and Martin Lings.Sedgwick promotes the book as a biography of René Guénon (1886-1951) and an intellectual history of the traditionalist movement that heinaugurated in the early twentieth century. Guénon’s movement combineselements of perennial philosophy, which holds that certain perennial problemsrecur in humanity’s philosophical concerns, and that this perennialwisdom is now only found in the traditional forms of the world religions ...

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.012
Scholarly communication0.0070.004
Open science0.0000.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0270.008

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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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