‘Very much like any other Japanese RPG you’ve ever played’: Using undirected topic modelling to examine the evolution of JRPGs’ presence in anglophone web publications
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.
Bibliographic record
Abstract
Abstract What types of discourses characterize Japanese role-playing games (JRPGs) as a genre of video games? Why is the genre so difficult to define, and why has it become polarizing within the gaming community? This article suggests an outline of the evolution of the discourse surrounding JRPGs based on a macroanalysis of the anglophone online gaming press. Using undirected topic modelling text mining methodology to analyse a corpus of 2053 JRPG reviews gathered from ten different online journalistic outlets posted between 1992 and 2014, this article demonstrates the circumstances of the gradual introduction of the term Japanese role-playing games in online publication, first as an extension of other examples Japanese pop culture in the late 1990s and early 2000s, and subsequently as its own genre appropriated by anglophone gaming culture in the mid-2000s onwards and subjected to this community’s particular regime of values.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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 it