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Record W4389051064 · doi:10.5114/ain.2023.132441

The regulation of emotions and problematic alcohol use: a review of literature

2023· review· en· W4389051064 on OpenAlexaboutno aff
Małgorzata Rydzewska, Justyna Zaorska, Andrzej Jakubczyk

Bibliographic record

VenueAlcoholism and Drug Addiction · 2023
Typereview
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsAddictionDrugAlcoholPsychologyPsychiatryChemistryBiochemistry

Abstract

fetched live from OpenAlex

The regulation of emotions and problematic alcohol use: a review of literature Regulacja emocji a problemowe uywanie alkoholu: przegld literatury Alcoholism & Drug Addiction / Alkoholizm i narkomania 2023; 36, 2 (with a diagnosis of alcohol dependence, harmful drinking, risky drinking or a diagnosis of alcohol use disorder according to DSM-5) were also included in the review. In addition, we referred to studies conducted in non-clinical populations to describe the importance of emotion regulation in alcohol use itself. The following terms alcohol, drinking, emotion regulation, pain, distress tole rance, impulsivity, sleep, affect, alexithymia were used in the Polish and English versions.

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)0.002
metaresearch head score (Gemma)0.005
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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.064
GPT teacher head0.369
Teacher spread0.305 · 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
GenreReview

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

Citations2
Published2023
Admission routes1
Has abstractyes

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