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Record W2010025306 · doi:10.1016/j.soscij.2009.03.001

Child maltreatment in Disney animated feature films: 1937–2006

2009· article· en· W2010025306 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

VenueThe Social Science Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsCarleton University
Fundersnot available
KeywordsNeglectChild abuseContext (archaeology)PsychologyFeature (linguistics)Child neglectDevelopmental psychologyPoison controlSuicide preventionSocial psychologyMedicinePsychiatryGeographyMedical emergency

Abstract

fetched live from OpenAlex

The 45 fully animated, theatrical release feature films produced by Disney between 1937 and 2006 were analyzed for child maltreatment content. All child and adolescent characters were counted and coded for age, role type and incidents of child maltreatment, following US National Incidence Study of Child Abuse and Neglect (NIS) criteria. A total of 561 incidents of child maltreatment were identified among the 1369 child characters in the films. A total of 26 of the 42 (62%) main child characters were maltreated at least once. Findings are discussed in the context of previous research. Implications of the findings for understanding potential effects on film viewers' understandings of issues around child maltreatment are outlined.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.021
GPT teacher head0.335
Teacher spread0.315 · 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