MétaCan
Menu
Back to cohort
Record W3031447871 · doi:10.1016/j.chbr.2020.100013

The meaning of the experience of being an online video game player

2020· article· en· W3031447871 on OpenAlex
Kelly Arbeau, Cassandra Thorpe, Matthew Stinson, Benjamin Budlong, Jocelyn Wolff

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueComputers in Human Behavior Reports · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of AlbertaTrinity Western UniversityWestern University
FundersUniversity of AlbertaTrinity Western University
KeywordsMeaning (existential)PsychologyVideo gameNarrativeExperiential learningSet (abstract data type)Social psychologyIdentity (music)Online videoVariety (cybernetics)MultimediaComputer scienceAestheticsPedagogy

Abstract

fetched live from OpenAlex

Online video games contain a variety of features that facilitate or encourage social interaction among game players. We explored the meaning of the experience of online game playing, seeking to uncover the personal meanings that game players ascribe to their online gaming experiences. Guided, semi-scripted personal interviews were conducted with 16 participants aged 17 to 34. A psychological-phenomenological analysis of participant narratives was conducted following procedures set out by Giorgi (2009). Four descriptive themes were identified: social rewards, experiential enhancement, growth and identity, and tension reduction. Participants described online gaming as an overwhelmingly positive, rewarding experience shaped by their social interactions with others in the game. We propose that as games offer more and more options for positive social interaction, concerns about detrimental effects of online video games may be attenuated.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.295

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 studies0.0000.001
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 head0.060
GPT teacher head0.352
Teacher spread0.292 · 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