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Record W2793361795

Between Rights, Political Participation and Opposition: The Case of the Yezidi in Syria (Rojāva)

2018· article· en· W2793361795 on OpenAlexaff
Majid Hassan Ali, S. Behnaz Hosseini

Bibliographic record

VenueSyrian Studies Association Bulletin · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOpposition (politics)PoliticsDemocracyPolitical sciencePublic administrationCivil societyReligious organizationEthnic groupLawPolitical economySpanish Civil WarSociology
DOInot available

Abstract

fetched live from OpenAlex

After the outbreak of the Syrian civil war in 2011, the Kurdish Protection Units, Yakīnayyin Pārāstnā Gal (YPG) and Yakīnayyin Pārāstnā Jin (YPJ), took control of northeastern Syria where they formed the Democratic Federation of Northern Syria (DFNS) in the three districts of Al-Jazīra, Kūbāni, and ʿAfrīn. The DFNS was established as a self-governing project with a special political and administrative system that emphasizes the rights and political participation of all ethnic groups and religious minorities in those provinces. The Yezidi, as a religious minority, are scattered throughout these provinces and are engaged in some of the local administrative institutions. They also form their own civil society institutions, though there is some resistance from within the Yezidi community. There is also a Yezidi political organization opposed to the policies of self-government that accuses Rojāva’s Kurdish authorities of marginalizing the Yezidi and other religious minorities’ political participation. However, the Yezidi participate in the area’s political and civil organizations while retaining their religious rights within this framework. In this paper, we will discuss the Yezidis’ participation and representation within the autonomous institutions and the political opposition in Rojava.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.363
Teacher spread0.327 · 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
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
Published2018
Admission routes1
Has abstractyes

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