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Record W333601074

The Effects of Televised Violence on Students

2002· article· en· W333601074 on OpenAlexaboutno aff
Bobbi Jo Kenyon

Bibliographic record

VenueScholarWorks - GVSU (Grand Valley State University) · 2002
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyFeelingDating violenceSocial psychologyDesensitization (medicine)AggressionSuicide preventionPoison controlDevelopmental psychologyDomestic violenceMedicine
DOInot available

Abstract

fetched live from OpenAlex

Violence among our youth today has skyrocketed, and we continue to hear reports of violent acts and aggressive behavior, especially in our schools. This growing level of negative behavior has prompted many educators and communities to look for an explanation. One suggestion often proposed is that our youth learn violent and antisocial behaviors by watching televised violence. This paper examines over forty years of laboratory and field research on the effects of televised violence on children. The vast majority of studies conclude that televised violence can lead to behaviors such as aggressiveness, desensitization, and fearfulness. These findings were then compared to a study conducted on eight students at Ottawa High School. The purpose was to see if a relationship existed between the amount of televised violence a students watched and some of the behaviors they exhibited at school. The students were given both a survey and an interview to access their behaviors and feelings regarding this issue. The results found were consistent with previous research. In conclusion, this paper gives recommendations that will help make schools, teachers, and students more aware of the negative impact of televised violence and how to reduce its influence on them and our schools.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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 designObservational
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
Published2002
Admission routes1
Has abstractyes

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