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Record W2897518896 · doi:10.23860/jmle-2020-12-2-3

Early adolescents' perceptions and attitudes towards gender representations in video games

2020· article· en· W2897518896 on OpenAlex
Helen Liu

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

VenueJournal of Media Literacy Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsYork University
Fundersnot available
KeywordsGender schema theoryPsychologyPerceptionSchema (genetic algorithms)Video gameSocial cognitive theorySocial psychologyRepresentation (politics)Identification (biology)Developmental psychologyMultimedia

Abstract

fetched live from OpenAlex

This study investigated adolescents’ perception and attitudes towards gender representation in video game covers, and the degree to which these depictions may influence their notions on gender and identification. Seventeen participants ranging from ages 12 and 13 participated in semi-structured interviews to explore this topic. This study’s conceptual framework encompassed social cognitive theory, gender schema theory, and cultivation theory. Findings suggest that gender representation in video games does influence the majority of participants’ notions of gender. However, there are differences between how males and females’ approach, interpret, and respond to this type of media. Findings also showcased that evidence of implicit bias was detected in both male and female participants, demonstrated through inconsistencies in their responses. Finally, the findings revealed a significant lack of identification from the majority of participants with video game characters, as many participants were able to clearly distinguish between simulated and real-life experiences.

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)0.001
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 score0.584
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.033
GPT teacher head0.368
Teacher spread0.335 · 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