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Record W4310653515 · doi:10.5772/intechopen.108805

The First Offer of Alcohol from the Adult Person and Cannabis Use

2022· book-chapter· en· W4310653515 on OpenAlexaboutno aff
Alojz Nociar, Stanislava Šaffová

Bibliographic record

VenueIntechOpen eBooks · 2022
Typebook-chapter
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsCannabisAlcoholAttendanceQuarter (Canadian coin)MedicinePsychologyDemographyAge groupsPsychiatryGeography

Abstract

fetched live from OpenAlex

This chapter is based on the data from the national survey on tobacco, alcohol, and drugs among primary and secondary school students aged 15–19 implemented in eight regions of Slovakia during Spring 2018. An unexpected shift was observed in the relationship between the age young people were offered alcohol by an adult and the age when they first experienced its effect. In previous surveys, the mean age of the first offer predated the felt effect of alcohol (“tipsiness”) by about 1 year on average. Our data revealed that following the initial offer of alcohol by an adult, approximately ¾ of participants felt the effect of alcohol later or during the same year (groups 1 and 2); however, in the remaining cases, the effect was felt before alcohol was offered by an adult (group 3). Thus, it appears that one-fifth to one-quarter of participants did not go through the usual ritual of initiation by adults. The analysis showed that this group of participants used cannabis more often than the rest of the sample. Furthermore, there were differences observed among the three groups in reported school attendance, legal and illegal drug use, and bullying. Possible implications of these findings are discussed.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.540
Threshold uncertainty score0.872

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.256
Teacher spread0.211 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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