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Record W4251574762 · doi:10.4324/9781315224695-12

Alcohol Use and Self-Esteem of Adolescents

2019· book-chapter· en· W4251574762 on OpenAlexaboutno aff
Wayne Mitic

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPsychosocial Factors Impacting Youth
Canadian institutionsnot available
Fundersnot available
KeywordsSelf-esteemPsychologySocial psychologyDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

In a society in which the use of alcohol has been symbolically associated with an adult behavior pattern and in which the use of alcohol is legally regulated, surveys have noted that few adolescents wait until they reach “drinking age” to sample alcohol. School board permission was obtained to conduct an alcohol behavior survey within nine schools of a large city in Southern Ontario. Individuals who drink alcohol on a regular basis and have low levels of self-esteem, may have been “weeded out” due to peer pressure, to drink excessively and therefore render them in the potential problem drinking category. The regular drinker may be thought of as being insulated from potential problem drinking by possessing a high level of self-esteem. Educators, therefore, should consider both variables, self-esteem and drinking behavior when devising and applying alcohol education programs. However, equally important, is aiding those persons who abuse alcohol to reassess their behavior and take steps toward prevention of future abuse.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.066
GPT teacher head0.319
Teacher spread0.253 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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