ALCOHOL AND DRUG ABUSERS' PERCEIVED REASONS FOR SELF-CHANGE IN CANADA AND SWITZERLAND: COMPUTER-ASSISTED CONTENT ANALYSIS
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
Although many people recover from substance-use associated problems on their own, little is known about this phenomenon. The paper had two objectives: to use a new research method, computer-assisted content analysis, to understand alcohol and drug abusers' perceived reasons for self-change and to undertake a comparative evaluation across substances and cultures to validate previous findings about subjective appraisal processes. Three studies of natural recoveries of alcohol and drug abusers in two countries conducted tape-recorded interviews with 216 respondents. The taped responses were coded based on a content analytic dictionary approach using a computerized content analysis program. All three studies found several processes mediating the decision to change substance use. The computer content analysis confirmed a cognitive appraisal process regardless of the cultural setting or substance. The findings suggest that several procedures might have benefit in clinical interventions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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