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Record W2914524548 · doi:10.36657/ihcd.2016.16

İbn Haldun un İlm-i Ümranında Bilimsel Ruha Karşı Mistik Ruhun Yeri

2016· article· tr· W2914524548 on OpenAlexaff
Ali Hassan Zaidi

Bibliographic record

VenueJournal of Ibn Haldun Studies Ibn Haldun University · 2016
Typearticle
Languagetr
FieldArts and Humanities
TopicIslamic Thought and Society Studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsRevelationHumanityContext (archaeology)DualismIslamic philosophyEpistemologyPhilosophyPositivismSociologyIslamHistoryTheology

Abstract

fetched live from OpenAlex

The modernist and positivist approach presupposes that Ibn Khaldun’s theory of the rise and fall of societies depends solely on inductive observation. In Ibn Khaldun’s theory, however, understanding the social world requires the knowledge of revelation and more than the empirical knowledge of rational reasons behind the rise and fall of societies. In this regard, his explanations refer only to the sudden mechanism in the history of humanity and are not contrary to the message of the Quran. The aspect of philosophy and religious sciences, which is more important even than dualism, is the triple architecture in reviving Ibn Khaldun’s Ilm al-Umran. He studies Ilm al-Umran towards the middle world of social existence, without separating it from other worlds. Ibn Khaldun’s science is encompassing because it includes certain insights from the revelation. Ibn Khaldun has neither a rationalist nor a religious viewpoint. His is a wide vision which seeks and successfully manages the paradoxes of human existence. This article is an attempt of comparative analysis of the conventional discourses on Ibn Khaldun and the intellectual passages in his works within the context of aforementioned cross readings.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.037
GPT teacher head0.230
Teacher spread0.193 · 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
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
Published2016
Admission routes1
Has abstractyes

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