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Record W2898885862 · doi:10.5539/ach.v10n2p82

The Forces Opposed to Abu Al-Abbas the Slaughter and the Mechanism of Dealing with Them

2018· article· en· W2898885862 on OpenAlexvenueno aff
Shaden Mohammed Al-Wahsh

Bibliographic record

VenueAsian Culture and History · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)VictoryDeedPoliticsState (computer science)Ancient historyLawPower (physics)HistorySociologyPolitical scienceMathematics

Abstract

fetched live from OpenAlex

The Abbasid Call has declared its victory and the end of the Umayyad state and the beginning of the era of a new state, the Abbasid state. Abu Abbas, the first of the Abbasid caliphs, bore the burden of leadership over Ibrahim the imam, as well as the obstacles to its establishment and the various reactions that were issued in word and deed.However, leaders in history differ in their response to attitudes from one leader to another, the presence of the opposition forces in the Abbasid state showed the caliphs mechanism of dealing with the various positions and the extent of their knack and intelligence in dealing with them, and show the hidden aspects of the personality of each of the caliphs.Perhaps Abu Abbas the slaughter was the most prominent caliphs who suffered from the large number of opposition forces where he faced a large number of forces that threatened to remain in power, but his will and political intelligence managed to address them.Many scholars have studied the Umayyads or the ovaries or the revolutions of the Shiites in the Abbasid period, as many have studied the leaders of such as Abu Musallam Al-Kharasani and Abu Salamah, but Abu Abbas the slaughter did not have a large presence in these studies, and this research specialized about the methods and ways that Abu Abbas the slaughter used to deal with those different forces.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
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 head0.021
GPT teacher head0.196
Teacher spread0.175 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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