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Record W2025529165 · doi:10.1080/00210860701390596

Mostafa Sho‘aiyan: The Maverick Theorist of Revolution and the Failure of Frontal Politics in Iran

2007· article· en· W2025529165 on OpenAlexaff
Peyman Vahabzadeh

Bibliographic record

VenueIranian Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPraxisIdeologyExistentialismPoliticsDilemmaPolitical scienceSociologyEpistemologyLawPhilosophy

Abstract

fetched live from OpenAlex

Based on the author's original research, the paper will offer a glimpse into the frontal theory of Mostafa Sho‘aiyan. The paper draws on his life and experience of the National Front in the 1950s as a model for political thought. Next, the paper will show how he tried, through his unique and uncanonical revolutionary theory, to make a revolutionary praxis compatible with frontal thinking. Analytically, Sho‘aiyan's work proves that an ideologically driven concept of national liberation becomes an impediment for frontal politics in a truly democratic way. Sho‘aiyan's works represent a theoretical and existential response to the national liberation dilemma which the Iranian Marxists faced in the 1960s and 70s.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.012
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0010.002
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 head0.028
GPT teacher head0.319
Teacher spread0.291 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

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