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Record W3172556662 · doi:10.26443/firr.v11i2.71

Double Trouble: Analyzing the Impact of Statelessness on the Status of Kurdish Women

2021· article· en· W3172556662 on OpenAlexvenueno aff
Maya Garfinkel

Bibliographic record

VenueFlux International Relations Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsStatelessnessOppressionStateless protocolEmpowermentGender studiesPoliticsNationalismPolitical scienceIdeologySociologyPolitical economyCitizenshipLaw

Abstract

fetched live from OpenAlex

The struggle of Kurdish women at large has been, as many media outlets suggested, an extraordinary and unique example of women’s status in the Middle East. In contrast to the widespread, surface-level narrative of Kurdish women’s empowerment, a complex political, socio-historical background of Kurdish statelessness has intensified women’s empowerment or oppression. This essay will demonstrate how nationalist ideology, autonomous spaces, and violent conflict may provide the conditions for a 'double revolution' and/or 'double oppression' of stateless Kurdish women through the lens of statelessness. These three features of statelessness intersect with unique features of the stateless Kurdish populations across the Middle East to determine a woman’s status. More specifically, the case of Syrian Kurdistan exemplifies a 'double revolution' while Iraqi Kurdistan exemplifies a case of 'double oppression' for Kurdish women.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.001
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 head0.041
GPT teacher head0.386
Teacher spread0.345 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueFlux International Relations ReviewSame topicTurkey's Politics and SocietyFrench-language works237,207