Social and epidemiological research on alcohol: Research presented at meetings of the Kettil Bruun Society between 1983 and 2010
Bibliographic record
Abstract
Aims: To study developments in the research agenda on social and epidemiological research on alcohol between 1983 and 2010, as presented at meetings of the Kettil Bruun Society (KBS). Design and setting: All papers presented at all annual meetings of the KBS between 1983 and 1993 are reviewed with regard to the content of the papers, the research methods used, the country of origin and demographic characteristics of the presenters. KBS papers from the years 2002/2003 and 2009/2010 are compared with those from 1983 to 1993 to determine changes in research authorship, methodology and/or focus. Results and conclusions: Both in the period 1983 to 1993 and in the years 2002/2003 and 2009/2010, many papers describe general drinking patterns and/or alcohol problems. In all three research periods approximately 40% of the papers are based on surveys. However, some clear changes can be distinguished with regard to the research fields addressed and the research methods used. There seems to be increasing attention to multi-method studies and\nthe combination of quantitative and qualitative research. In addition, methodologies have become more advanced and more varied over the years. Results show a continuous increase in the number of researchers (particularly female) submitting papers. Between 1983 and 1993 almost all participants came from North America (the United States and Canada) and Europe, especially the Nordic countries. In 2009/2010 researchers from many more countries were involved. (aut. ref.)
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.
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 | 0.026 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.025 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".