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Record W2990996420 · doi:10.7202/1065899ar

Buying Time: Capitalist Temporalities in Animal Crossing: Pocket Camp

2019· article· en· W2990996420 on OpenAlex
Rainforest Scully-Blaker

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLoading · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsTemporalitiesComputer scienceVideo gameAndroid (operating system)AestheticsSociologyMultimediaArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

In November 2017, Nintendo released Animal Crossing: Pocket Camp (Nintendo 2017) for iOS and Android devices. At first blush, the game is much like previous instalments in the series. The player character finds themselves as a new denizen of a rural space populated by sentient animals that all have wants and offer rewards for those that satisfy those wants. However, the conversion of Animal Crossing from console game to mobile game was not without its major changes. A free-to-play game par excellence, Pocket Camp introduces Leaf Tokens, a separate currency from bells which can be bought with real money. Leaf Tokens can be used to buy certain in-game objects but, for the most part, are used to eliminate instances of waiting in the game, which stands in direct opposition to the series’ apparent valorization of slower, simpler living. Through a discussion of this translation of Animal Crossing’s mechanics and values into the mobile game genre, Pocket Camp is shown to gamify the capitalist monetization of time. In the face of this reality, the paper concludes examining the role of the player as a critical actor within this system and suggests that, far from being a passive victim of the game’s capitalist logics, one might engage with the game in subversive ways that articulate a virtual refusal of virtual labour and an instance of what the author has taken to calling radical slowness.

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 score0.898
Threshold uncertainty score0.608

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)0.0010.000

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 head0.019
GPT teacher head0.290
Teacher spread0.271 · 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