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Record W4411396430 · doi:10.53762/5ebc9b54

10.53762/5ebc9b54

2000· article· en· W4411396430 on OpenAlexvenueno aff
Muhammad Sabbir Rahman, Mutahir Shah

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicLiterary Theory and Cultural Hermeneutics
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceCharacter (mathematics)ArtLiteratureHistoryHumanitiesMathematics

Abstract

fetched live from OpenAlex

The history of Urdu novel is incomplete without Jameela Hashmi’s Novels. She wrote great novels. Her first novel "Talāsh-e-Baharan" was full of romance. In this novel, she showed the romantic colors of life. She also used famous historical figures as subjects in her novels. These novels include "Chehra Ba Chehra Roo Ba Roo" and "Dasht-e-Soos". In " Chehra Ba Chehra Roo Ba Roo " the circumstances of the famous character Qurat-ul-Ain Tahira are discussed, while in "Dasht-e-Soos" the historical incident of Mansoor Hallāj is analyzed. The present article discusses this historical event regarding Mansoor Hallaāj

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.030
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.9700.963

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 head0.010
GPT teacher head0.160
Teacher spread0.150 · 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; the direct Gemma label and the distilled Codex classifier 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
Published2000
Admission routes1
Has abstractyes

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