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Record W4306167507 · doi:10.5430/wjel.v12n8p181

Machiavellian Imperial Dominance and Division of the Subcontinent: A Reflective Study on Indo- English Partition Literatures

2022· article· en· W4306167507 on OpenAlexvenueno aff
Kamlesh Dangwal, Ali Alshhre

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsPartition (number theory)SovereigntyIndian subcontinentAncient historyIndependence (probability theory)HistorySociologyLawPolitical science

Abstract

fetched live from OpenAlex

A momentous event in our modern history was the victorious crown of the British machination to promote and foster imperial interest and it was the division of the subcontinent into two separate sovereign nations India and Pakistan. The Machiavellian thirst to grab power, the indiscretion of politically biased leaders, and unrelenting clamour by the aggressive communal groups ensued towards the division of the sub-continent. The birth and transfer of power and people to two sovereign newly carved nations in the subcontinent besmear both the nations into ghastliness of communal frenzy before realizing the euphoria of independence. The cruellest and most gruesome violence that accompanied the decision to divide the subcontinent into two separate nations was the culmination of the British machination and manoeuvre. The gory of violence accompanied by partition shattered all modes of decency, nobility, and liberal humanistic values and ideals brutally and trampled all possibilities of amity, sanity, and peace forever. The cardinal features of Indian civilization i.e., peace, mutual tolerance, syncretism, socio-cultural amity, and universal brotherhood were destroyed forever.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0120.016
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.287
Teacher spread0.277 · 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 designQualitative
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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