The Development of PS in the Current Game Market
Bibliographic record
Abstract
This paper mainly discusses the current issue and future development of PlayStation of Sony. The two main competitors of Sony’s PlayStation are Nintendo and Microsoft’s Xbox. Sony previously occupied approximately a half of the whole market share, which surpassed the market share of Nintendo and Xbox respectively. In 1994, PS successfully defeated SEGA and Nintendo in Japan and became the overlord of the game industry at that time. In the following decades, Sony launched PS2, PSX, PS3, PS4 and other excellent host products and the global sales volume of PS2 hosts was 158 million, which exceeded all hosts and handheld machines. However, Sony is now in a recession and many problems occur. PS experienced a decline in game quality and Sony added many of its exclusive games to the PC side for distribution, causing dissatisfaction among many PS host players. Simultaneously, Microsoft’s XGP subscription system became a great success. At this urgent time, some great leaders of Sony decided to reform strategies of the company. There are failures and obstacles during this period but we are likely to witness the re-rising of Sony’s PlayStation. You will find more interesting details in our paper.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".