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Record W4386549563 · doi:10.30949/dajdtla.v18i1.1

Fictionalisation of History In Basavaraj Naikar's The Sun of Freedom

2022· article· en· W4386549563 on OpenAlexaboutno aff
Kh. Kunjo Singh

Bibliographic record

VenueDialogue A Journal Devoted to Literary Appreciation · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismHistoryDisarmamentNarrativeAncient historyLawPoliticsDoctrineGeographyPolitical scienceLiteratureArt

Abstract

fetched live from OpenAlex

Basavaraj Naikar's novel The Sun of Freedom (2020) is fictionalization of the colonial history of India, particularly of the Deccan region. Here the conflict between Bhaskararao Bhave, king of Naragund and East India Company around 1857 is presented to reflect the whole Indian history of the time. In the novel traditionally preserved culture is also fictionalised in an artistic manner. The novel is a faithful record of the turbulent period of the Colonial history of India visa-vis Naragund where collective political consciousness and identity collapse with the advent of colonialism and British Paramouncy resulting in the loss of national freedom. By this time Lord Dalhousie, the then Governor General of India passed two Acts - "Doctrine of Lapse" and "Disarmament Bill" around 1845. Both the Acts were against the freedom of the native kings of South India. The East India Company attacked at Naragund Palace and possessed it thereby making Bhaskararao flee. His effort to recover Naragund by meeting even Nana Saheb in Nepal was of no avail. Ultimately the narrative shows the tragic death of Bhaskararao somewhere in North India.

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)0.001
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 score0.012
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.015
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.252
Teacher spread0.227 · 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
Published2022
Admission routes1
Has abstractyes

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Same venueDialogue A Journal Devoted to Literary AppreciationSame topicSouth Asian Studies and ConflictsFrench-language works237,207