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A CONCEPÇÃO DE “DISTÂNCIA” EM JACQUES HENRIOT: UM ESPAÇO VIRTUAL DE JOGO

2021· article· pt· W3212044178 on OpenAlexaff
Maude Bonenfant

Bibliographic record

VenueBrazilian Journal of Policy and Development · 2021
Typearticle
Languagept
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsDialecticGRASPCore (optical fiber)MathematicsComputer sciencePhilosophyEpistemology

Abstract

fetched live from OpenAlex

Jacques Henriot asserts that the game refers to one and the same idea. He believes in a semantic core, a common element, a “unity of the game” among the diversity of games. This “common denominator”, as Caillois puts it, is what makes all types of games playable. This semantic core is, according to our reading of Henriot, the “distance” that defines the function of play, for the idea of play must first be understood in a mechanical way. Play is above all that emptiness which allows us to say that there is play: in the parts of a gear, in the joints, in a hinge, etc. Playing is then considered as a dialectical operation that puts the player at a distance. The form of the game is this distance, this interval that allows the game to exist for a player. The distance is thus a key concept to understand Henriot’s conception of the game, but instead of approaching the distance from a psychoanalytical point of view, we propose to define this concept starting from the concept of “virtuality” in order to fully grasp the richness of Henriot’s thinking.

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)0.002
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 score0.488
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.031
GPT teacher head0.379
Teacher spread0.348 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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