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Record W4296984023 · doi:10.7202/1092425ar

Controllers and the Magic Kingdom

2022· article· en· W4296984023 on OpenAlex
Rayna Denison

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 · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsKingdomRevelationFranchisePromotion (chess)MAGIC (telescope)Law and economicsSociologyLawPolitical scienceManagementBusinessEconomicsArtMarketingLiterature

Abstract

fetched live from OpenAlex

Who controls the Kingdom Hearts franchise? This article examines this question using a mixed industrial and promotional approach to seek moments of revelation about the creation and status of the Kingdom Hearts franchise for both of its conglomerate co-creators, Disney and Square Enix. Disney’s conglomerated industrial practice has long been assessed for adherence to the concept of synergy. By examining where and how synergy was adopted as an industrial logic within the creation of the Kingdom Hearts franchise, and Kingdom Hearts III in particular, I argue that it is in moments of tension, that we can find the most instructive evidence for who controls the games we play. Following work by Janet Wasko (2001) and Barbara Klinger (1999) in particular, I first look across the shared discursive history of the franchise and then at the promotion of Kingdom Hearts III for instances where synergy breaks down or becomes contested. These, I contend, demonstrate the limits of the logical of synergy in cross-cultural, transindustrial production cultures.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.032
GPT teacher head0.295
Teacher spread0.264 · 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