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Record W2231728639 · doi:10.25071/2291-3637.39820

A closer look at the ‘misuses of feminism’ for advancing imperialistic agendas: A case study of Iraq.

2015· article· en· W2231728639 on OpenAlexvenueno aff
Shayma Bashawieh

Bibliographic record

VenueHPS The Journal of History and Political Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsMilitarismFeminismGender studiesPoliticsResistance (ecology)Women's historySociologyResidencePolitical scienceLawDemography

Abstract

fetched live from OpenAlex

Liberating third world, Muslim women from the clutches of oppressive Arab men has proven to be a popular and seductive justification for the military invasion of various Middle Eastern states throughout history. Individuals that support the ‘liberation’ of women of colour through military occupations argue that women in these ‘third world states’ are oppressed and require the assistance of a western military invasion to facilitate their liberation. This stems from viewing Arab women as mainly docile and passive individuals rather than active participants of their lives and destinies engaging in their own forms of resistance. Yet, a growing number of scholars and feminists are beginning to question the possibility of liberating women through the very forces that oppress them- namely imperialism and militarism. This paper- through a case study of Iraq- is similarly critical of the possibility of liberating women through a military invasion. It attempts to answer questions such as; how are women living in ‘post-liberated’ Iraq versus under Saddam, and what do their daily struggles look like, in its endeavour to paint a picture of the status of the various groups of women in Iraqi society pre and post 2003 invasion. The paper argues Iraqi women experience their society and the Baath regime differentially based on a combination of factors such as their social class, place of residence- urban or rural, political affiliation and so on. Thus rather than viewing Iraqi women as a homogenous group of oppressed women that require western military assistance for their liberation the paper encourages individuals to pay more attention to the grassroots. Only when the oppressed and exploited participate in the process of their liberation can the endeavor be successful.

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0280.029
Scholarly communication0.0090.008
Open science0.0040.008
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.086
GPT teacher head0.355
Teacher spread0.270 · 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 designQualitative
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

Citations1
Published2015
Admission routes1
Has abstractyes

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Same venueHPS The Journal of History and Political ScienceSame topicMiddle East and Rwanda ConflictsFrench-language works237,207