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Record W2902049996 · doi:10.5539/jsd.v11n6p41

Eurocentrism and the Contribution of Ibn Khaldun to the Growth of Sociology

2018· article· en· W2902049996 on OpenAlexvenueno aff
A. Rameez

Bibliographic record

VenueJournal of Sustainable Development · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsEurocentrismSociologyKinshipPoliticsSocial scienceHistorical sociologyAnthropologyEpistemologyLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

It is generally believed that sociology originated in Europe in the 19th century and the paternity of the discipline is commonly attributed to the French sociologist August Comte. However, reflections of a sociological nature were observed and found in the work of 14th century North African historian and philosopher Ibn Khaldun. However, such contribution of Ibn Khaldun is little acknowledged by European scholars in their works. Therefore, this paper attempts to examine how Eurocentrism is embedded in the writing of the European scholars and unpacks the contribution of Ibn Khaldun in the growth of Sociology. In the first part of essay, I argue that the perspective of European scholars are mainly Eurocentric and parochial in their accounts on culture, language and other aspects of non-European society. In the second part of the essay, I argue Ibn Khaldun’s contribution to the field of sociology is largely ignored, though his contributions dealt with the society and human character, political organization and government, differences between rural and urban populations, kinship, social solidarity, and the interplay between economic conditions and social organizations. Nevertheless, I argue that though Ibn Khaldun’s ideas have hugely impressed some of European thinkers in the 19th century prompting them to regard him as the progenitor of sociology, question remains as to how his ideas and theories have been appropriated by contemporary social scientists in their works.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.286
Teacher spread0.278 · 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 teacher head, 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

Citations2
Published2018
Admission routes1
Has abstractyes

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