Multilingualism Between Inclusion and Exclusion: A Social Semiotic Analysis of Invented Languages in Chants of Sennaar
Bibliographic record
Abstract
In an era of digitization, video games constitute an ideal site for examining linguistic and cultural diversity. As one of the important semiotic resources in video games, invented languages create a space for representing different social meanings. This study investigates how invented languages in Chants of Sennaar are ideologically represented through different linguistic and semiotic resources. Findings indicate that invented languages become a site of ideological contestation for social inclusion and concomitantly social exclusion. On one hand, invented languages as an inclusive form of multilingualism can diversify knowledge base, bridge cultural divide and assemble semiotic repertoires. On the other hand, multilingualism can reproduce social inequality in the access to playing the game, consequently recreating homogeneity and socially differentiated practices. By analyzing the semiotic representations of invented languages, this study contributes to the nuanced understanding of multilingual studies by expanding the scope of research inquiry on video games, an under-explored but increasingly prominently research area in sociolinguistics. The study concludes by addressing the sociolinguistic dimensions of invented languages in relation to a broader context of social practices.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".