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Record W3022129626 · doi:10.1080/21504857.2020.1754262

Child soldiers in transatlantic graphic narratives of war

2020· article· en· W3022129626 on OpenAlexaboutno aff
Tatiana Prorokova

Bibliographic record

VenueJournal of Graphic Novels & Comics · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeHistoryColonialismRefugeeMedia studiesSociologyGender studiesPsychologyLiteratureArt

Abstract

fetched live from OpenAlex

In this article, I examine the image of child soldiers as depicted in Michel Chikwanine, Jessica Dee Humphreys, and Claudia Dávila’s Child Soldier: When Boys and Girls Are Used in War and Matteo Casali and Kristian Donaldson’s 99 Days and the choice to narrate war and genocide through the filter of young protagonists. Investigating the postcolonial approach adopted in each of these graphic narratives, I am interested in the imagery of postcolonial spaces that, I argue, is conveyed in these graphic novels as essentially savage and dangerous places, promoting colonial stereotypes, as well as in the function of the U.S. and Canada as places of salvation and safety, largely in contrast to war-torn Rwanda and Congo. I regard 99 Days and Child Soldier as powerful tools through which to communicate the problem of child soldiers to the Western world, and examine the suitability of the graphic novel as a medium in this respect.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.217
Teacher spread0.188 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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