It's not a game: a dramaturgical analysis of an illicit online consumption community
Bibliographic record
Abstract
Using a sociocultural approach, we explore an illicit consumption community online. There are several thriving consumption communities that exist online that exchange illicit commodities without scrutiny from regulatory structures. Despite the large sums of money spent on this practice and the potential problems associated with illicit commoditizing, the online environment remains loosely regulated. A netnography of one such community, online poker players, is the central focus of this research. We propose a dramaturgical model that explains the macro-environmental factors of illicit consumption communities and the individual motives of online poker players. The online poker forum selected for this study is vibrant, rich with data and frequented often by online poker community members. By examining discussions held within this online community, we uncover insights on the illicit consumption of online poker players and their motives. We explore these varying factors and motives and discuss the public policy implications of our findings.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".