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Record W2170449902 · doi:10.1080/01459740.2012.721826

Structural Violence in Afghanistan: Gendered Memory, Narratives, and Food

2012· article· en· W2170449902 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Anthropology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMemory workSociologyNarrativeCollective memoryMedia studiesStructural violenceSubject (documents)PoliticsGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

Afghanistan has been subject to political amnesia by the occupying powers of the United States and its North Atlantic Treaty Organization allies. Using the Taliban as a reference point, they have ensured that they are not implicated in the everyday and structural violence to which the people of Afghanistan have been subject over the past three decades. But Afghan women remember. Based on my ethnographic research in Kabul (in fall 2008 and 2009), I show how women in Afghanistan engage in memory work through narratives and food preparation within spaces of devastation. I argue that through these mediums, structural violence becomes knowable. I also argue that memory work is a politicized enterprise through which people remember to seek justice, in the process evoking the attention of a listening audience. This focus fosters a conversation on how the anthropology of violence can engage with issues of representation and engaged accountability.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.999

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 studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.342
Teacher spread0.308 · 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