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Sir William Jones (1746-1794) and Islamic studies.

2013· dissertation· en· W2547182231 on OpenAlexfundno aff
Owen Watkin

Bibliographic record

VenueUniversity Of Wales Trinity Saint David Research Repository (University of Wales Trinity Saint David) · 2013
Typedissertation
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
FundersUniversity of CambridgeHigher Education AcademyUniversity of OxfordYork University
KeywordsIslamLawJurisprudenceContext (archaeology)OrientalismGlossarySanskritSupreme courtShariaSociologyHistoryPolitical scienceLiteraturePhilosophyArtLinguistics

Abstract

fetched live from OpenAlex

The dissertation considers the life and work of Sir William Jones, a significant figure in the field of Orientalism and a judge in the Bengal Supreme Court. The life and career of Jones is described ,with emphasis on his interests in the Arabic, Persian and Sanskrit languages. A review of literature relating to Jones gives a comparative account of how his work and actions were perceived by commentators and how those perceptions changed in more recent studies of his work. The major part of the dissertation deals with the work of Jones in translating legal texts, with particular attention paid to his last work on Mohamedan laws of intestacy, as part of the plan to administer native laws. The work is considered in the context of the Shari’a and Islamic jurisprudence, the work of Muslim jurists and their function. Consideration is given to the impact of his work, and that of others on the development of Anglo-Mohamedan law. Jones’s contribution to the early development of Oriental studies is evaluated. The significance of Jones to Islamic Studies is assessed, showing that his work and actions were instrumental in affecting the laws of a Muslim society by the introduction of colonialist concepts and practices. The dissertation contains a Glossary of Key Terms and a Bibliography.

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.006
Scholarly communication0.0030.002
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 head0.058
GPT teacher head0.315
Teacher spread0.257 · 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
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

Citations1
Published2013
Admission routes1
Has abstractyes

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