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Record W1524700456

Playing Attention: The Hermeneutic Problems of Reading Ico Closely

2012· article· en· W1524700456 on OpenAlexaff
Peter D. McDonald

Bibliographic record

VenueLoading... · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsReading (process)Unconscious mindObject (grammar)Meaning (existential)Space (punctuation)EpistemologyStyle (visual arts)Order (exchange)Game studiesPsychologyComputer sciencePsychoanalysisPhilosophyArtificial intelligenceLinguisticsLiterature
DOInot available

Abstract

fetched live from OpenAlex

This article argues that paying attention to the specifics of a videogame involves a difficult problem of interpreting the meaning of repeated acts. A hermeneutic framework is developed by examining the PlayStation 2 game Ico through Melanie Klein’s object-relations psychoanalysis. The author argues that the controller functions as a semi-autonomous unconscious space that mediates unconscious phantasy and emotions, and therefore represents a privileged space for analysis. The article demonstrates the difference between a traditional close reading and a ludic close-reading by applying the tools to Ico in order to show how the game develops from a paranoid to a depressive style of play.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.011
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.099
Scholarly communication0.0110.011
Open science0.0020.006
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.293
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2012
Admission routes1
Has abstractyes

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