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Record W7128518132 · doi:10.64903/1480-6800.23.4.275

An Analytical Venture into the Spatial Foundations Affecting the Slow Formation of Modern Government in Iran Before the First Pahlavi Era (1925–1941)

2020· article· W7128518132 on OpenAlexvenueno aff
Ehsan Lashgari

Bibliographic record

VenueArab world geographer · 2020
Typearticle
Language
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsGovernment (linguistics)LivelihoodPoliticsPower (physics)Central governmentGlobalization

Abstract

fetched live from OpenAlex

Political sociology texts consider the rise of the first Pahlavi government in Iran at 1925 as the inception of the formation of a modern government in the country. Meanwhile, from a temporal perspective, the emergence of modern government in Iran has been delayed compared to European and even Asian societies. The present study seeks to analyze the causes of the slow emergence of the processes and institutions of a modern government in Iran by means of a descriptive-analytical method and from a political geographical perspective. Research findings show that a set of factors, including the environmental origins of Iran, have contributed to the formation of a nomadic livelihood in the history of Iran. Furthermore, the ethnic heterogeneity and risk-prone geographical location of Iran from a geopolitical perspective meant that only leaders with a divine charisma could create unity among these challenges. The amalgam of these factors delayed the process of establishing modern governmental processes in Iran until the rise to power of the first Pahlavi king.

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)0.003
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: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.006
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0000.001
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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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
Published2020
Admission routes1
Has abstractyes

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