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Record W2404348203 · doi:10.1177/1555412015601757

Older Adults’ Social Interactions in Massively Multiplayer Online Role-Playing Games (MMORPGs)

2015· article· en· W2404348203 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

VenueGames and Culture · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCasualPsychologyClubSocial relationSocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate older adults’ social interactions in massively multiplayer online role-playing games (MMORPGs). An online survey was developed and published on eight World of Warcraft (WoW) player forums to gather information about older gamers’ demographic characteristics, play patterns, social interactions in the game, and challenges facing older adults while playing WoW. Results indicate that as for their younger counterparts, older adults’ social interactions in MMORPGs are motivated by social, achievement, and immersion factors; can take place on several different levels; and can be casual or intimate. As in previous research, respondents in this study reported that playing MMORPGs offered older adults opportunities to sustain off-line relationships with family and real-life friends and to build meaningful and supportive relationships with game friends. This study also demonstrated that MMORPGs have the potential to function as a “third place” for older adults to socialize and be entertained as in a real-world club or coffee shop.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.482

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 integrity0.0000.000
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 head0.025
GPT teacher head0.327
Teacher spread0.301 · 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