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Record W4407742779 · doi:10.63075/guman.v7i3.816

(Evolution of Urdu Language: An Evidence from Literary Review - Research and Critical Analysis)

2024· article· en· W4407742779 on OpenAlexaff
Asad Mahmood Khan

Bibliographic record

VenueGUMAN · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsUrduLinguisticsHistoryLiteratureSociologyPsychologyPhilosophyArt

Abstract

fetched live from OpenAlex

This dissertation examines the historical evolution of Urdu, starting from its roots and influencing as a separate and unique language. This study seeks to gain a thorough understanding of the development of Urdu and its importance in the Indian subcontinent by carefully analyzing historical and linguistic facts. The ramifications of our findings extend to language and cultural studies, enriching our grasp of the intricate history and cultural heritage of the region. This study paper provides a comprehensive analysis of the social and linguistic evolution of Urdu, from its inception to its present state. It aims to encompass all facets of the language. We have also considered the viewpoints of language development experts. Key Words: Historical Evolution, Roots and Influence, Social and Linguistic, Development.

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)0.013
metaresearch head score (Gemma)0.038
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: none
Teacher disagreement score0.017
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0170.019
Science and technology studies0.0050.006
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.112
GPT teacher head0.486
Teacher spread0.374 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

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