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Record W1925752877 · doi:10.26522/ssj.v2i1.965

Corporeal Dimensions of Gender Violence: Ladina’s Self and Body in Eastern Guatemala

2009· article· en· W1925752877 on OpenAlexvenueno aff
Cecilia Menjívar

Bibliographic record

VenueStudies in Social Justice · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityDignityGender studiesSociologyPsychologySocial psychologyCriminologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Based on 30 in-depth interviews with Ladina women and field work conducted in a rural town in eastern Guatemala, I examine the physical expressions that violence can take on the women's bodies, such as common physical ailments that result from emotional distress as well as sicknesses that are caused directly by the conditions in which they live. A central theme in the discussion is the embodiment of violence as it is expressed in the control of the women's body in the social milieu, such as the control of their socializing and visiting. I use a sociologically- and anthropologically-informed lens to situate corporeal questions within structures of social inequalities and human suffering and, thus, this examination contributes to debates about the relationship between body and society, macro and micro processes in the social world, as well as explorations between the women's lives and their rights. As such, this examination permits to unveil embedded structures of violence that assault the women's dignity and provoke suffering, as well as those instances in which gender solidarity is created. This examination allows us to explore implications for gender-based social justice.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.077
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.386
Teacher spread0.333 · 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 teacher head, 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

Citations7
Published2009
Admission routes1
Has abstractyes

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