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Record W1983641367 · doi:10.2478/s13374-012-0046-8

Experiences of Slovak University students with on campus alcohol policy

2012· article· en· W1983641367 on OpenAlexaboutno aff
Ferdinand Salonna, Natália Sedlák Vendelová, Jozef Benka, Mária Bačíková

Bibliographic record

VenueHuman Affairs · 2012
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsSlovakAlcohol consumptionFocus groupPolitical sciencePublic relationsAlcoholSociologyPsychologyMedical educationMedicineChemistry

Abstract

fetched live from OpenAlex

Abstract The vast majority of studies focusing on alcohol consumption among university students are based on US and Canadian samples and employ a quantitative approach. Universities from the US and Canada also have a longer tradition in implementing alcohol policies. The alcohol policies at universities in Slovakia are mostly non-systematic and often not implemented in practice. The objective of this study was to explore Slovak university students’ experiences towards alcohol policy on their campuses using a qualitative approach. Eight focus group discussions were conducted among university students (n=64; 38 female; 2011; Slovakia). The key questions were (1) “Is there a policy concerning alcohol on your campus and what are the consequences of not complying with it?”, and (2) “How should an on-campus alcohol policy be developed and what should it include?” The students knew of few, if any, rules concerning alcohol. Student participation was considered important in policy development and implementation. Slovak universities should be more active in forming alcohol policies. A preventative policy which actively involves students was emphasized as optimal.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.312
Teacher spread0.283 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2012
Admission routes1
Has abstractyes

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