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Record W2168652425 · doi:10.1177/0090591714525172

To Be a Courtier in the Islamic Republic of Iran

2014· article· en· W2168652425 on OpenAlexaff
Omid Payrow Shabani

Bibliographic record

VenuePolitical Theory · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsScholarshipAcquiescencePoliticsOpposition (politics)LawAutocracyPolitical scienceSociologyDemocracy

Abstract

fetched live from OpenAlex

The Islamic Republic of Iran is no doubt an autocratic regime, where the supreme leader, Ayatollah Khamanie, has taken it upon himself to micromanage the suppression of the opposition for many years. In this respect and in the eyes of most Iranians, the resignation and submission of the Iranian reformists, including the former president Mohammad Khatami, is puzzling if not downright treacherous. By appropriating the insight of an Italian Renaissance writer, Baldassare Castiglione, in his book, Il Libro del Cortegiano or The Book of the Courtier, I hope to offer an alternative interpretation of the confounding position of the Iranian reformists. Contrary to its prevalent reading in its scholarship, which takes Il Libro del Cortegiano as an apolitical book, its more recent scholarship has discovered a political program, according to which in the absence of freedom aims to ameliorate the conduct of the tyrant through the actions of the courtier, who provides an example of honourable conduct and public service. I propose to adopt the ideal of cortegiano as a heuristic device that, when applied to the Iranian situation, can explain Mr. Khatami and his fellow reformists’ acquiescence that as a stratagem of resistance that, in the absence of a better alternative, works as the politics of the second best to make their “master” a better leader by offering an example of a more virtuous leader.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.006
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.035
GPT teacher head0.314
Teacher spread0.279 · 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
Published2014
Admission routes1
Has abstractyes

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