Pervasive Computer Games and Processes of Spatialization: Informational Territories and Mobile Technologies
Bibliographic record
Abstract
Pervasive computer games (PCGs) combine digital mobile technologies and location-based systems by creating an interface between electronic and physical spaces for playing. PCG is a general name for mobile games such as hybrid reality games (HRGs), location-based mobile games (LBMGs), and urban games. Our goal here is to show how these games, along with new digital mobile technologies, have the potential to produce “spatialization,” i.e., to socially produce the space in which they are embedded. I suggest that spatialization is achieved through the use of technology such as sensors and digital mobile networks (smartphones, PDAs, global positioning systems [GPSs], and augmented reality [AR] devices; radio frequency identification [RFID] tags and global system for mobile communications/general packet radio service [GSM/GPRS]; Wi-Fi and Bluetooth). The goal of this article is to examine the forms of spatialization created by the use of location-based services and location-based technologies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.025 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".