Pursuit of a ‘Normal Life’: Mood, Anxiety, and Their Disordering
Bibliographic record
Abstract
Throughout the process of being treated for mood and anxiety disorders, people dream of the "normal life" that awaits them. However, post-therapy, the distinctiveness of clinical normality (i.e., reduced symptomatology) and social normativity become more apparent. In this article we suggest that for people who have long felt socially excluded because of their psychiatric symptoms, being "normally shy" or "normally awkward" is not enough. Instead they aspire to an ideal life. This confusion between means and ends, between a nonsymptomatic self, a normative self, and an ideal self, leads these individuals to long-term self-doubt and confusion about how to reach their elusive goals. Yet, their never-ending pursuit of normative ideals applies to "normal" and "abnormal" people alike. An analysis of narratives of exclusion allows us to reflect the life-long search for social inclusion via a normal life.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.031 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".