The Media's Influence on Female Relational Aggression and Its Implications for Schools
Bibliographic record
Abstract
The author of this paper explores the media’s role in the normalization of relational aggression of females and the implications this can have in schools. It is important that those who teach, support, and develop curricula for students be aware of the media’s role in the use, and the effects, of indirect aggression and have information on how to approach reducing the effect that the media can have. Trends and effects of relational aggression are highlighted. The media’s role in normalizing relational aggression in females is explored, with a specific look at Disney’s films as well as the effect the media’s influence can have on youth and families. This paper will consider current tactics employed by schools and the challenges schools face. It will conclude with a look at future ideas for combating the normalization of relational aggression in the media. Keywords : relational aggression, females, media, Walt Disney, education
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".