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Record W4253415471 · doi:10.1386/ijcis.1.2.247_1

Iraqi women under occupation: from tribalism to neo-feudalism

2007· article· en· W4253415471 on OpenAlexaff
Jacqueline S. Ismael, Shereen T. Ismael

Bibliographic record

VenueInternational Journal of Contemporary Iraqi Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsCarleton UniversityUniversity of Calgary
Fundersnot available
KeywordsFeudalismReactionaryTribalismOffensiveOppressionPolitical scienceGender studiesSociologyLawPoliticsEconomics

Abstract

fetched live from OpenAlex

Over the latter half of the twentieth century, Iraqi women enjoyed a substantial expansion in their opportunities and rights. Where the reforms of the latter half of the twentieth century freed women from the bondage of tribal and feudal forces, the American occupation of 2003 has jolted Iraqi women back into the bondage of reactionary forces. In addition to the general horrors that have come to dominate Iraqi life, Iraq's women have become the target of a campaign of sexual terrorism by the Anglo-American occupation regime in addition to the criminal and sectarian elements that were unleashed by the occupation. This article studies the shifting status of women in modern Iraq, and considers the various forms of oppression that held Iraqi women in thraldom (tribal, sectarian, neo-feudal). Finally, the article considers the place of women within the emerging international environment of corporate neo-feudalism.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.021
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.085
GPT teacher head0.402
Teacher spread0.318 · 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

Citations30
Published2007
Admission routes1
Has abstractyes

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