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Record W2592940252

The Political Communications of Iranian Green Resistance Movement of 2009: A Critical Discourse Analysis

2015· dissertation· en· W2592940252 on OpenAlexfundno aff
Maral Karimi

Bibliographic record

VenueYorkSpace (York University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicPolitical theory and Gramsci
Canadian institutionsnot available
FundersYork University
KeywordsCritical theoryStatus quoPoliticsSocial movement theorySocial movementCritical discourse analysisPolitical scienceResistance (ecology)SociologyDemiseMovement (music)Political economyEpistemologySocial scienceAestheticsLawIdeology
DOInot available

Abstract

fetched live from OpenAlex

In 2009 Iran witnessed the Green Movement, a popular uprising that challenged the status quo of the socio-political structures of the Islamic Republic. In this research, I attempt to develop an understanding of the conditions that contributed to the demise of the movement.
\nThis study takes a Critical Theory approach, and the theoretical foundations of this work are the Theory of Structuration of Giddens and the Theory of Communicative Action of Habermas. The data is drawn from YouTube videos and analyzed through Critical Discourse Analysis. 
\nThis research identifies the key stakeholders of the movement and investigates weather their aspirations regarding the uprising were aligned or stood in contrast. My investigation uncovers evidence of systematic communication distortion in the public discourse of the leaders of the movement which greatly impacted demobilization and led to its failure. The results of my study also disprove the viability of the Reform philosophy as a pragmatic political path to democracy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.359
Teacher spread0.324 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

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