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Record W1563700981 · doi:10.7557/23.6049

Online Gaming and the Social Construction of Virtual Victimization

2010· article· en· W1563700981 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

VenueEludamos Journal for Computer Game Culture · 2010
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsGroup cohesivenessHarmEthnographyContext (archaeology)Social psychologyOnline and offlinePsychologyVirtual communityInternet privacyOnline communitySociologyComputer scienceThe InternetWorld Wide Web

Abstract

fetched live from OpenAlex

Online computer gaming is becoming an increasingly popular leisure activity as well as a growing context for social networking and social interaction in general. Drawing from a cyber-ethnography conducted in one such online game, I analyze the process by which the notion of victimization is socially constructed within the online gaming community. I contextualize this analysis within the framework of social construction theories, specifically addressing how internal and external norms, beliefs and values influence the assessment of the severity of virtual harm and the subsequent validity of victim claims. The reported findings suggest a distinction between virtual violence and theft within the context of the game; the latter being assessed as more harmful to the cohesiveness of the online community as well as the individual victim. Reasons for this distinction as well as a broader analysis of the interaction between online and offline culture is discussed.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.338

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.336
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