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Record W2342844202 · doi:10.1177/1555412015600066

Board Games and the Construction of Cultural Memory

2015· article· en· W2342844202 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 · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsConcordia University
Fundersnot available
KeywordsSituatedRepresentation (politics)Meaning (existential)Experiential learningCultural memoryOrder (exchange)SociologyGame studiesCultural artifactEpistemologyAestheticsCognitive scienceComputer sciencePsychologyMedia studiesLawArtificial intelligenceArtPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Although much has been written about the potential of games for historical representation and their status as historical texts, there is little research placing games into a broader “cultural memory” framework. In this article, I argue that one unique way games as a medium can participate in constructing cultural memory is by simulating historically situated structural metaphors. To do so, I first introduce the concept of cultural memory and link it to material culture studies. I argue that games can be cultural memory “objectivations,” but in order to fully analyze them in this respect insights from game studies, namely, the meaning potential of rules, need to be applied as well. I then discuss how three board games, 1830: Railways and Robber Barons , Age of Steam, and Empire Builder simulate the structural metaphors identified by Wolfgang Schivelbusch that were used by contemporary observers to understand the experiential changes wrought by the railroad. I close by arguing that this type of research is valuable in that it opens up new understandings of how games influence the way a culture thinks about and remembers its past.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.397

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 studies0.0000.001
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 head0.061
GPT teacher head0.341
Teacher spread0.280 · 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