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Child Soldiers and Iconography: Portrayals and (Mis)Representations

2010· article· en· W1595122879 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

VenueChildren & Society · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsMcGill University
Fundersnot available
KeywordsIconographySierra leoneLimitingSociologyPopular mediaGender studiesHistoryMedia studiesPsychologyCriminologyEthnology

Abstract

fetched live from OpenAlex

Over the past decade, child soldiers have inundated the popular media. Images of boys armed with AK47s appear ubiquitous, providing a cautionary tale of innocent childhood gone awry. While these representations turn commonly held assumptions of a protected and innocuous childhood on its head, what they conceal is as provocative as what they reveal. Popular news media tells us little about the children behind the guns or the complexity of their wartime and post‐war experiences. Attempting to move beyond the narrow depictions, this paper explores the realities of a cohort of child soldiers in Sierra Leone and their experiences of armed conflict. Drawing upon in‐depth interviews conducted over a two‐year period, children’s experiences defy the limiting portrayals offered by media discourse. While these children are frequently constructed through a framework of extremes (as either extreme victims, extreme perpetrators or extreme heroes), in reality, the lives of these children fall within the grey, ambiguous and paradoxical zones of each.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.011
GPT teacher head0.279
Teacher spread0.268 · 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