The Symbolism of Evil in the Big Book of AA
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
Alcoholics Anonymous (AA) describes itself as a “fellowship of men and women who share their experience, strength and hope with each other that they may solve their common problem and help others to recover from alcoholism” (Alcoholics Anonymous, 2010). The fellowship has millions of members all around the world and the number of independent AA groups is counted in tens of thousands. In this article, I try to understand the recovery from alcoholism in the fellowship of AA as a meaning giving process where the alcoholic is invited to interpret the founding text of AA, Alcoholics Anonymous: The Story of How More Than One Hundred Men Have Recovered from Alcoholism, and to appropriate the world that it opens in front of him. I focus on interpreting the symbolic language with which the Big Book of AA speaks of evil. I also explain how this symbolic language is related to recovery – i.e., how the alcoholic may find in the pages of the Big Book commonly shared symbols of stain, sin, and guilt which express his blind experience of evil.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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