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Record W2068448127 · doi:10.1163/156920810x504540

Disappointments and New Directions: Women, Partisanship, and the Regime in Yemen

2010· article· en· W2068448127 on OpenAlexaff
Stacey Philbrick Yadav, Janine A. Clark

Bibliographic record

VenueHawwa · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsDisappointmentAuthoritarianismPoliticsIdeologyOpposition (politics)Political economyCompetition (biology)LimitingPolitical scienceSociologyDemocracyLawSocial psychologyPsychology

Abstract

fetched live from OpenAlex

Abstract Young women activists in Yemen today often express a profound disappointment over the process of partisan competition, even as they continue to show a commitment to public service and civic engagement. This undoubtedly stems from nearly two decades of slowly receding rights, as the logic of multiparty competition has led political parties across the political spectrum to articulate an increasingly narrow set of views regarding the public roles of women and to allocate fewer resources to support their female members. This essay details the trajectory of these disappointments and shows how the interrelated processes of encroaching authoritarianism and cross-ideological opposition have come to position women as the objects of partisan debate, while simultaneously limiting their opportunities to directly shape Yemeni politics through partisan institutions. In response to a system that has valued their votes more than their voices, women have increasingly invested their energies in the associational sector, a choice that runs the risk of exacerbating some of the limits that they encounter under prevailing political conditions.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.951
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.025
GPT teacher head0.285
Teacher spread0.259 · 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 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

Citations4
Published2010
Admission routes1
Has abstractyes

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