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Record W3014887682 · doi:10.1177/1555412020914722

Making Sense of Abstract Board Games: Toward a Cross-Ludic Theory

2020· article· en· W3014887682 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

VenueGames and Culture · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsTypologyRepresentation (politics)SociologyEpistemologyMeaning (existential)Optimal distinctiveness theoryPerspective (graphical)On boardAffordanceAestheticsSocial psychologyPsychologyComputer sciencePolitical scienceHuman–computer interactionLawHistoryArtPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

The frequent absence of culturally specific, figurative, or decorative markings in abstract board games has challenged theorizations that assume a meaningful representation in the study of games. In accepting this challenge, this article theorizes the historical phenomenon of abstract board games whose nonrepresentational board design and formal rules have transmitted with little change over millennia and across vast expanse. A theoretical framework is outlined for understanding abstract board games—a modular ontology of abstract board games and a typology of player meaning-making in abstract board games. It is argued that the reproducibility and transferability of abstract board games as self-sufficient and reliable formal systems that players share independently from culturally specific meanings and materials may contribute to their dispersal. It is in this interaction between the cross-cultural/reliable and local/variable semantic structures of abstract board games that game studies from a historical or archaeological perspective may meet literary and social science perspectives.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.946
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.047
GPT teacher head0.335
Teacher spread0.288 · 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