Bibliographic record
Abstract
The representation of space in digital games is symbolic and rule-based rather than uniquely spatial, thus virtual space bears significance, be it for narratological reasons, or for more stringent reasons of gameplay. Virtual architecture might be more apt to be analyzed as a system of signs, as, unlike real architecture, its very existence is for the communication of information to the player, and the communicative aspect is no mere accident or addition to other functions. We will utilize the semiotic frameworks put into place by Umberto Eco as regards architecture as mass communication and Brian Upton's as concerns digital games, with the concept of "ludic sign", to "read" the architectural design of Polish game The Witcher 3, as the role of architecture in world-building is of important metaphorical and symbolic value to the game. The Witcher 3 adopts a particular style, which diverges from the standard fantasy settings, and the dichotomy between the main game and its expansion Blood & Wine, set in a faux Italy/Southern France, is a perfect example of how virtual architecture carries a symbolic value and a communicative aspect and is not a mere backdrop for the action.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".