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Record W4411324762 · doi:10.53762/d9f9af10

10.53762/d9f9af10

2000· article· en· W4411324762 on OpenAlexvenueno aff
Shahbaz Ali, Adnan Tariq, Yawar Haroon

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicBangladesh Politics, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAlliancePolitical scienceLaw

Abstract

fetched live from OpenAlex

The creation of Pakistan was the result of Islamic ideology. The Muslims were demanding a separate homeland where they would apply the teachings of Islam. Following Pakistan’s establishment, the principles of Islam were included in the constitution-making process in the form of an Objective Resolution. The Constitutions of 1956, 1962, and 1973 were all based solely on Islamic principles. Any laws that were considered to be anti-Islam were firmly rejected by the public at large, resulting in severe agitation. When the socialist Pakistan People’s Party tried to re-emerge in Pakistan’s political arena in 1977, Islamic ideology proved to be a binding force against PPP, prompting the formation of the Pakistan National Alliance. In 1988, the socialist PPP returned to Pakistani politics, and supporters of Islamic ideology, including the military, government, and religious political parties, formed an alliance against her, forming Islami Jamhuri Ittehad. IJI took part in elections but did not win the support of the voters. Now the question is why IJI, Pakistan’s largest religious-political alliance, was unable to defeat the PPP, a single political party. What were the reasons behind its failure? How the PPP dealt with opposition strategies in elections, including the President, Military, and IJI? What were the real causes of PPP’s success in the elections? The answers of these question are the real motive of this research.

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 score0.022
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.9780.978

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 head0.013
GPT teacher head0.240
Teacher spread0.226 · 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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