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Record W2789667361 · doi:10.1177/016146811711901208

Virtual Convergence: Exploring Culture and Meaning in Playscapes

2017· article· en· W2789667361 on OpenAlex

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.

Bibliographic record

VenueTeachers College Record The Voice of Scholarship in Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsBrock University
Fundersnot available
KeywordsMeaning (existential)SemioticsSociologySituatedMetaverseSpace (punctuation)EpistemologyConvergence (economics)Meaning-makingVirtual spaceComputer scienceAestheticsVirtual realityHuman–computer interactionPsychologyArtificial intelligenceArt

Abstract

fetched live from OpenAlex

Background Research into digital practices and cultures repeatedly calls attention to the complexity of communication spaces and meaning-making practices. With the blurring of boundaries between online and offline, these entangled practices involve the interweaving of human, material, semiotic, and discursive practices. Purpose This introductory article builds on theoretical work by Huizinga and Appadurai and presents the concept of playscapes to help situate the overall collection of articles in this special issue, Virtual Convergence: Synergies in Virtual Worlds and Videogames Research. Research Design This analytic essay examines virtual worlds and videogames and offers the concept of playscapes to expand the discourse about space and finitudes of practice. Conclusions Playscapes extend current conversations about learning, transmedia, and play ecologies because playscapes can support the discussion of entangled meaning making across space and time, all the while acknowledging the situated nature of the activity.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.057
GPT teacher head0.335
Teacher spread0.278 · 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