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Record W3038712690 · doi:10.4000/gc.10097

Jouer dans l’espace urbain capitaliste de Disneyland avec The Secret of Monkey Island : Monkey Island 1 & 2

2019· article· fr· W3038712690 on OpenAlexaff
Charlotte Courtois

Bibliographic record

VenueGéographie et cultures · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

L’article s’intéresse aux deux premiers titres de la série de jeux d’aventure graphique classique The Secret of Monkey Island créés par LucasArts (à l’époque LucasFilm Games) dans les années 1990. Presque 30 ans plus tard, nous nous demandons encore quel est donc le secret de l’île ? La communauté de joueuses s’accorde en majorité à penser que ce secret a tout à voir avec le parc d’attractions de Disneyland. C’est cette comparaison qui sous-tend l’intégralité de notre contribu­tion. Nous allons étudier l’espace des Monkey Island 1 et 2 en articulant la théorie sur le jeu vidéo, le capitalisme et l’urbanisme, et ce à travers l’analyse des déplacements, de la marche à pied, des marchandises et des attractions.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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