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Record W2396743839 · doi:10.1080/00263206.2016.1178112

On the front and at home: women in the modern Ottoman epic

2016· article· en· W2396743839 on OpenAlexaboutno aff
Can Eyüp Çekiç

Bibliographic record

VenueMiddle Eastern Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsAutocracyReignPoliticsEPICState (computer science)Quarter (Canadian coin)Modernization theoryHistoryFront (military)Ancient historySociologyLawPolitical scienceLiteratureDemocracyGeographyArt

Abstract

fetched live from OpenAlex

Changes in gender roles are related to larger developments in the spheres of social modernization and discipline. As Ottoman society evolved into a nation through the nineteenth century, women's roles in contemporary epic literature were reassigned to domestic life, showing them protecting the hinterland and nurturing younger generations in order to satisfy the state's growing need for manpower. Gradually, Ottoman women lost whatever autonomy they may have had over their bodies, and their status vis-à-vis the state was redefined. This article examines the female characters in modern Ottoman epic literature so as to explore the reflections in this literature of the social and political transformations that occurred during the last quarter of the nineteenth century. It aims to reveal the ways in which heroic female figures created before or at the beginning of the autocratic reign of Abdülhamid II (r. 1876–1909) changed into domestic characters as the social skeleton of the regime became apparent.

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)0.001
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 score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.020
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.056
GPT teacher head0.270
Teacher spread0.214 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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