Perceptions of Identity and Expertise in Heavy Metal Fans within One Online Community of Practice
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
Identity is central to learning (Wenger, 1998), and identity in online forums can be represented verbally in posts and comments as well as non-verbally through choices such as username, user picture, and signature. How a forum user interacts with others based on their perceptions of another users’ identity and expertise impacts their experiences. This chapter examines informal learning experiences and behaviour based on the perceptions of others for three heavy metal fans within an online forum through a cyber-ethnographic study. This study explores participants’ interactions with both verbal and non-verbal content to form their perceptions of others, including perceptions of expertise. The participants controlled how they interacted with content and other users in a Web 2.0 environment, which impacted the shared construction of knowledge based on their perceptions of identity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it