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Record W1497850534 · doi:10.1111/sena.12092

Motherhood as<scp>A</scp>rmenianness: Expressions of Femininity in the Making of<scp>A</scp>rmenian National Identity

2014· article· en· W1497850534 on OpenAlexaff
Sevan Beukian

Bibliographic record

VenueStudies in Ethnicity and Nationalism · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFemininityExpression (computer science)NationalismGender studiesEthnic groupNational identityIdentification (biology)Identity (music)GenocidePerceptionSociologyPsychologySocial psychologyPolitical scienceAestheticsArtAnthropologyLaw

Abstract

fetched live from OpenAlex

Abstract This article explores the discourses on gender roles and the place ofArmenian women in theArmenian nation‐building process, especially focusing on the changes since the 1988 national movement formation. This study is based on extensive interviews conducted inArmenia andKarabakh in 2011. AlthoughArmenian women were praised for their role during the nationalist movement of 1988 and theKarabakh war, they went back into their ‘traditional’ role in the aftermath. Motherhood is a strong concept inArmenian women's (self‐)identification with their nation, constructing it as a uniqueArmenian trait that distinguishesArmenian women from ‘others’. The self‐expression of women highlights the authenticity ofArmenian constructions of femininity as motherhood, embedded in the national and ethnic self‐identification ofArmenian women. The concept ofArmenian motherhood is therefore a particular expression filtered through a distinct history of national struggle and genocide, and upheld byArmenian women through that perception.

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)0.001
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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.008
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.407
Teacher spread0.328 · 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

Citations19
Published2014
Admission routes1
Has abstractyes

Explore more

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