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Record W4403512170 · doi:10.7202/1113430ar

Vaccin vidéoludique : les jeux comme remède à l’isolement, à l’anxiété et à la désinformation en temps de pandémie

2023· article· fr· W4403512170 on OpenAlex
Christopher Noël

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueKinephanos Revue d études des médias et de culture populaire · 2023
Typearticle
Languagefr
FieldNeuroscience
TopicMind wandering and attention
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article examine les manières par lesquelles le jeu vidéo peut avoir une fonction thérapeutique, en particulier à l’égard des maux psychologiques ressentis en contexte de pandémie et de confinement. Nous nous intéressons d’abord aux recherches en psychologie et en études vidéoludiques sur les bénéfices du jouer ( play ), des jeux sérieux et des jeux de divertissement sur la santé mentale. Nous expliquons ensuite les impacts néfastes sur la santé mentale que provoque la situation pandémique. En nous basant sur des théories en études du jeu et sur des exemples emblématiques, nous élaborons enfin quelques pistes de réflexion sur le potentiel thérapeutique de différents jeux vidéo en temps de pandémie.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.121
GPT teacher head0.372
Teacher spread0.252 · 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