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Record W3129474818 · doi:10.5539/jpl.v13n4p51

Internal Factors behind the Decline of the Marinid Kingdom

2020· article· en· W3129474818 on OpenAlexvenueno aff
Mohamad Zulfazdlee Abul Hassan Ashari, Ezad Azraai Jamsarı, Napisah Karimah Ismail, Nursafira Lubis Safian, Zamri Ab Rahman

Bibliographic record

VenueJournal of Politics and Law · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
FundersUniversiti Kebangsaan Malaysia
KeywordsDemiseGovernment (linguistics)KingdomContext (archaeology)IslamPolitical scienceGlorySovereigntyState (computer science)Development economicsHistoryPolitical economyLawSociologyEconomicsPolitics

Abstract

fetched live from OpenAlex

The Marinid Kingdom (1215-1465) was an Islamic government which emerged in the Maghreb during medieval time. Inheriting the rule from the Almohads, the Marinids were regarded as a strong and formidable Islamic government which once ruled the entire Maghreb and parts of al-Andalus at the height of its glory. Not unlike previous Muslim governments, the Marinid Kingdom also faced various problems and went through several conflicts which affected its stability and integrity. In fact the conflicts even caused the demise of the Marinid Kingdom in the year 1465 which saw the emergence of the Wattasids. This article is aimed at determining the internal factors which contributed to the decline of the Marinids which led to its eventual demise. This study employed a method of qualitative approach via historical study and content analysis, in particular using primary and secondary sources which focused on events which led to the demise of the kingdom. Results of this study identified several internal factors which contributed to the weakness and the eventual collapse of the Marinid Kingdom. In the present-day context, it is not impossible that the same factors can cause any Muslim countries, as a sovereign state and nation, to become weak and disintegrate should the government and the people fail to cooperate in matters regarding the stability of the country.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.236
Teacher spread0.213 · 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
Published2020
Admission routes1
Has abstractyes

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