Online Forums as Definitional Ceremonies
Bibliographic record
Abstract
As the internet and accompanying technologies develop, so do the opportunities to help people affected by mental health challenges. The advances in communication technologies have coincided with the growing prominence of the mental health consumer voice prompted by the recovery movement. These emerging threads of change have led to a profound influence in the shaping of mental health services and the nature of assistance received by consumers. This exploratory article discusses how Barbara Myerhoff's (1986) definitional ceremonies can be used to better understand the social exchanges that take place within virtual internet communities to allow those with mental health challenges to proactively shape their recovery. We discuss how the online participants discussed in this article construct their narratives of recovery with peers. The article lays out some of the advantages and disadvantages of virtual communities for those struggling with mental health issues. Finally the article reflects on the role that mental health professionals may have in utilizing technology for promoting clients' mental health and path of recovery.
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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 | 0.013 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".