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Record W4411396675 · doi:10.53762/fpfxh965

10.53762/fpfxh965

2000· article· en· W4411396675 on OpenAlexvenueno aff
Ahmad Hassan

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupPoliticsIndependence (probability theory)Argument (complex analysis)ImmigrationPolitical scienceDevelopment economicsEthnic conflictPolitical economySociologyLawEconomics

Abstract

fetched live from OpenAlex

This research paper is a historical analysis of the Sindhi-Mohajir conflict in Sindh, since the creation of Pakistan to the end of the twentieth century. The paper argues that after independence in 1947 the influx of immigrants from India was officially diverted from Punjab to Sindh, resulting in a drastic ethnic transformation in the region. The increased number of Urdu-speaking immigrants with strong economic and political status caused sense of deprivation among the local Sindhi-speaking people. This deprivation paved the way for the ethnic political parties that gave rise to the ethnicity-based conflicts. The central argument claims that the Pakistan People’s Party (PPP) and Muttahida Qaumi Movement (MQM)’s politics played the most significant role in intensifying the Sindhi-Mohajir conflict in Sindh. To support this argument qualitative research method is used and the historical analysis is weaved with the help of secondary sources.

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 score0.038
Threshold uncertainty score0.054

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 communication0.0040.003
Open science0.0010.003
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.9620.948

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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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