“Never Battle Alone”: Egirls and the Gender(ed) War on Video Game Live Streaming as “Real” Work
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
From 2018 to 2021, the “egirl” witnessed a radical shift from her origins as a sexualized slur in online gaming. Through critical discourse analysis of news media of this period, this paper interprets this transformation within two primary phenomena: (1) the growth of women game influencers who reclaimed “egirl” slurs in their self-branding and (2) the launch of “Egirl.gg,” a platform for paid gaming companions. I argue that live streaming platform Twitch.tv, and the expansive ecosystems of labor its demand from streamers, were integral to this re-authorization of who can play as themselves in a patriarchal gaming culture. Here, I extend Ergin Bulut’s framework of “ludic authorship” to delineate how stakeholders in game streaming industries masculinize the cultural labor of “authenticity.” The ambivalent embrace of “egirling” via streaming cultural logics further complicates the work of women gamers who must work harder to realize careers in platformed entertainment.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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