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Record W2890849891 · doi:10.1177/1555412018793068

Investing Time for Your In-Game Boyfriends and BFFs: Time as Commodity and the Simulation of Emotional Labor in <i>Mystic Messenger</i>

2018· article· en· W2890849891 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 · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsConcordia University
Fundersnot available
KeywordsAgency (philosophy)CasualParallelsGame studiesSocial psychologyEscapismPsychologyCheatingSociologyMedia studies

Abstract

fetched live from OpenAlex

Mystic Messenger is a real-time mobile dating simulator and otome game that simulates how people fall in love online. In this essay, I will look at significant parallels between casual games and otome games and point out the ways in which both define women as players and consumers of games. By focusing on Mystic Messenger, I examine the ways in which the game’s real-time simulation of emotional labor becomes a way of policing women’s desires, a way of reinforcing nurturing roles over women’s desires, and a way of literally commodifying the assumedly female player’s leisure time. Furthermore, I also examine player practices and discussions of cheating within the player community, tagging these as light forms of resistances and ways in which various individuals in the community assert their identity and their agency over their own time.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.185

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.020
GPT teacher head0.306
Teacher spread0.286 · 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