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Record W2026518039 · doi:10.1177/0743558410384731

“You’re Always First a Girl”: Emerging Adult Women, Gender, and Sexuality in the Israeli Army

2010· article· en· W2026518039 on OpenAlexaff
Dana S. Levin

Bibliographic record

VenueJournal of Adolescent Research · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of Windsor
FundersUniversity of Michigan
KeywordsHuman sexualityHeteronormativityHarassmentPsychologyMilitary serviceGender studiesGirlNonprobability samplingDevelopmental psychologySocial psychologySociologyPolitical scienceDemographyPopulationLaw

Abstract

fetched live from OpenAlex

The Israeli army drafts both men and women, and most Israelis complete their military service during their emerging adulthood years. This study examined Israeli women’s experiences as soldiers in the army. Twenty-three women (18 emerging adults, 5 young adults) were recruited using purposive sampling and interviewed about how they experienced their gender and sexuality during their army service. Interviews were analyzed using open and focused coding. Participants reported experiencing their army tenure as gendered and sexualized beings. Themes that emerged include gender performance, sexual harassment, and dating experiences and heteronormativity. This study expands current knowledge by examining Israeli emerging adult soldiers, gender, and sexuality in the Israeli army and looking at the intersection of gender, culture, and development.

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)0.002
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.117
GPT teacher head0.421
Teacher spread0.304 · 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

Citations37
Published2010
Admission routes1
Has abstractyes

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