Bibliographic record
Abstract
This ethnographic study explores how feminist video game players mobilise in online environments. The main research questions of this chapter involve identity and learning. How are identities formed in online feminist gaming communities, how much of one’s identity is disclosed, what determines these choices in identity disclosure, and for what purpose? What kind of informal learning is promoted and produced in online feminist gaming communities, and how does this learning take place? After analysing posts, articles, comments, and interview responses from members of feminist gaming blog The Borderhouse, it was found that feminist gamers prefer identity disclosure to concealment. While identity disclosure can be traumatic for some feminist gamers in non-feminist online gaming communities, identity disclosure is encouraged in feminist gaming online forums, as it contributes to a member’s credibility and garners trust from other members. The trust and credibility garnered affects the learning that takes place, as those who are trusted help influence the content and production of discussion. Furthermore, it was found that informal learning occurs with participants of the blog through regular informal feedback, networking, and the encouragement of critical thinking skills.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".