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Kettil Bruun Society for Social and Epidemiological Research on Alcohol

2004· article· en· W2084118830 on OpenAlexaff
Andrée Demers, H.F.L. Garretsen, Robin Room, Ingeborg Rossow, Trygve Ugland

Bibliographic record

VenueAddiction · 2004
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPublic relationsEpidemiologyWork (physics)SociologyWorking groupThematic analysisPolitical scienceQualitative researchMedicineSocial scienceEngineeringLaw

Abstract

fetched live from OpenAlex

The Kettil Bruun Society for Social and Epidemiological Research on Alcohol (KBS) was established in 1987 and is an independent organization open to all scientists working on problems related to social and epidemiological research on alcohol. The aim of the Society is to promote social and epidemiological research which fosters a comparative understanding of the social aspects of alcohol use and alcohol problems. In line with this the Society also aims at promoting a spirit of international collaboration. The Kettil Bruun Society is based on individual membership and, by 2003, has 197 fully paid-up members, representing 34 different countries over five continents. The main activities include an annual meeting as well as thematic meetings. In these meetings, discussions are emphasized by having precirculated papers and assigned discussants. The KBS also serves as a basis for organizing international collaborative projects. Project meetings or work-shops are often organized around the annual meetings, and the projects tend to run over several years. The Society's primary influence is through the mutual influence of its members on each others' thinking, the work of the projects that KBS sponsors and the influence its members have collectively on the development of the field.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.058
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.004
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0580.017

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.

Opus teacher head0.546
GPT teacher head0.597
Teacher spread0.050 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations8
Published2004
Admission routes1
Has abstractyes

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