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Record W7057262786

Idol Democracies: An Interview with Dariush Shayegan

2011· article· en· W7057262786 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsMcGill University
Fundersnot available
KeywordsDemocracyIdeologyPower (physics)PoliticsResistance (ecology)IslamPerspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

Dariush Shayegan is one of Iran's foremost philosophers, and is a longtime voice in the debates taking place between the circulation of culturally-specific practices of political recognition and their varied forms of resistance and contestation.Herein he offers his thoughts on the cultural conditions that are necessary for specific aspects of democratic pratices to take root and flourish, and confronts head on the difficult and timely question of how, following Montesquieu, -only power can stop power.‖ Negin DjavaherianBased on your writings and on your unique position as a thinker who situates himself at the meeting point between East and West, your perspective on the concept of existence and its articulations of choice seems to ask the following, quite difficult, question: is there a need for democracy?If this need for democracy exists, I would like to know if democracy can prevail in countries that strictly adhere to an ideology similar to that of Islamic rule or Communism?Under these conditions, what does it take for democracy to thrive? Dariush ShayeganNo doubt, democracy is no more a luxury, but a necessity.In other words, we peoples can no longer afford the luxury of not having a democracy.In the first place, the autocratic, despotic or totalitarian regimes are extremely costly at all levels, at the human level as well as the economic level.They can only be sustained by tremendous and horrific human

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)0.005
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0170.006
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0040.010
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 head0.040
GPT teacher head0.248
Teacher spread0.209 · 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
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
Published2011
Admission routes1
Has abstractyes

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